Detection

(ECCV'20) DETR: End-to-End Object Detection with Transformers, [Paper], [Code]
(ICLR'21) Deformable DETR: Deformable Transformers for End-to-End Object Detection, [Paper], [Code]
(CVPR'21) UP-DETR: Unsupervised Pre-training for Object Detection with Transformers, [Paper], [Code]
(arXiv 2020.11) End-to-End Object Detection with Adaptive Clustering Transformer, [Paper]
(arXiv 2020.11) Rethinking Transformer-based Set Prediction for Object Detection, [Paper]
(arXiv 2020.12) Toward Transformer-Based Object Detection, [Paper]
(arXiv 2020.12) DETR for Pedestrian Detection, [Paper]
(arXiv 2021.01) Line Segment Detection Using Transformers without Edges, [Paper]
(arXiv 2021.01) Fast Convergence of DETR with Spatially Modulated Co-Attention, [Paper]
(arXiv 2021.02) GEM: Glare or Gloom, I Can Still See You? End-to-End Multimodal Object Detector, [Paper]
(arXiv 2021.03) SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving, [Paper]
(arXiv 2021.03) Meta-DETR: Few-Shot Object Detection via Unified Image-Level Meta-Learning, [Paper]
(arXiv 2021.03) CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification, [Paper]
(arXiv 2021.03) DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention, [Paper]
(arXiv 2021.04) Efficient DETR: Improving End-to-End Object Detector with Dense Prior, [Paper]
(arXiv 2021.04) Points as Queries: Weakly Semi-supervised Object Detection by Points, [Paper]
(arXiv 2021.04) CAT: Cross-Attention Transformer for One-Shot Object Detection, [Paper]
(arXiv 2021.05) Content-Augmented Feature Pyramid Network with Light Linear Transformers, [Paper]
(arXiv 2021.06) You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection, [Paper]
(arXiv 2021.06) DETReg: Unsupervised Pretraining with Region Priors for Object Detection, [Paper],[Project]
(arXiv 2021.06) Oriented Object Detection with Transformer, [Paper]
(arXiv 2021.06) MODETR: Moving Object Detection with Transformers, [Paper]
(arXiv 2021.07) ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer, [Paper]
(arXiv 2021.07) OODformer: Out-Of-Distribution Detection Transformer, [Paper]
(arXiv 2021.07) Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers, [Paper],[Code]
(arXiv 2021.08) Fast Convergence of DETR with Spatially Modulated Co-Attention, [Paper],[Code]
(arXiv 2021.08) PSViT: Better Vision Transformer via Token Pooling and Attention Sharing, [Paper]
(arXiv 2021.08) Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation), [Paper],[Code]
(arXiv 2021.08) Conditional DETR for Fast Training Convergence, [Paper],[Code]
(arXiv 2021.08) Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads, [Paper]
(arXiv 2021.08) TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios, [Paper]
(arXiv 2021.09) Anchor DETR: Query Design for Transformer-Based Detector, [Paper],[Code]
(arXiv 2021.09) SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction, [Paper]
(arXiv 2021.09) Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds, [Paper]
(arXiv 2021.10) IViDT: An Efficient and Effective Fully Transformer-based Object Detector, [Paper],[Code]
(arXiv 2021.10) DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries, [Paper],[Code]
(arXiv 2021.10) CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector, [Paper],[Code]
(arXiv 2021.11) Cross-Modality Fusion Transformer for Multispectral Object Detection, [Paper],[Code]
(arXiv 2021.11) Benchmarking Detection Transfer Learning with Vision Transformers, [Paper]
(arXiv 2021.11) BoxeR: Box-Attention for 2D and 3D Transformers, [Paper]
(arXiv 2021.11) Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity, [Paper], [Code]
(arXiv 2021.12) OW-DETR: Open-world Detection Transformer, [Paper]
(arXiv 2021.12) Recurrent Glimpse-based Decoder for Detection with Transformer, [Paper], [Code]
(arXiv 2021.12) BEVDet: High-Performance Multi-Camera 3D Object Detection in Bird-Eye-View, [Paper]
(arXiv 2021.12) Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence, [Paper]
(arXiv 2022.01) Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond, [Paper], [Code]
(arXiv 2022.01) DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR, [Paper], [Code]
(arXiv 2022.03) DN-DETR: Accelerate DETR Training by Introducing Query DeNoising, [Paper], [Code]
(arXiv 2022.03) DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection, [Paper], [Code]
(arXiv 2022.03) Knowledge Amalgamation for Object Detection with Transformers, [Paper]
(arXiv 2022.03) Accelerating DETR Convergence via Semantic-Aligned Matching, [Paper], [Code]
(arXiv 2022.03) Progressive End-to-End Object Detection in Crowded Scenes, [Paper], [Code]
(arXiv 2022.03) Towards Data-Efficient Detection Transformers, [Paper], [Code]
(arXiv 2022.03) Semantic-aligned Fusion Transformer for One-shot Object Detection, [Paper]
(arXiv 2022.03) MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer, [Paper]
(arXiv 2022.03) TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers, [Paper], [Code]
(arXiv 2022.03) Open-Vocabulary DETR with Conditional Matching, [Paper]
(arXiv 2022.03) MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection, [Paper], [Code]
(arXiv 2022.03) Few-Shot Object Detection with Fully Cross-Transformer, [Paper]
(arXiv 2022.03) Exploring Plain Vision Transformer Backbones for Object Detection, [Paper]
(arXiv 2022.03) Omni-DETR: Omni-Supervised Object Detection with Transformers, [Paper], [Code]
(arXiv 2022.04) CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection, [Paper]
(arXiv 2022.04) Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection, [Paper], [Code]
(arXiv 2022.04) An Extendable, Efficient and Effective Transformer-based Object Detector, [Paper], [Code]
(arXiv 2022.04) Learning Future Object Prediction with a Spatiotemporal Detection Transformer, [Paper]
(arXiv 2022.04) DFAM-DETR: Deformable feature based attention mechanism DETR on slender object detection, [Paper]
(arXiv 2022.04) Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection, [Paper]
(arXiv 2022.05) Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning, [Paper]
(arXiv 2022.05) An Empirical Study of Self-supervised Learning Approaches for Object Detection with Transformers, [Paper], [Code1], [Code2]
(arXiv 2022.05) Simple Open-Vocabulary Object Detection with Vision Transformers, [Paper], [Code]
(arXiv 2022.05) Vision Transformer Adapter for Dense Predictions, [Paper], [Code]
(arXiv 2022.05) Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection, [Paper]
(arXiv 2022.05) Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer, [Paper],[Code]
(arXiv 2022.05) Transformer-based out-of-distribution detection for clinically safe segmentation, [Paper]
(arXiv 2022.05) AO2-DETR: Arbitrary-Oriented Object Detection Transformer, [Paper],[Code]
(arXiv 2022.06) Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation, [Paper],[Code]
(arXiv 2022.06) DETR++: Taming Your Multi-Scale Detection Transformer, [Paper],[Code]
(arXiv 2022.06) Visual Transformer for Object Detection, [Paper]
(arXiv 2022.06) Efficient Decoder-free Object Detection with Transformers, [Paper]
(arXiv 2022.07) QKVA grid: Attention in Image Perspective and Stacked DETR, [Paper],[Code]
(arXiv 2022.07) Symmetry-Aware Transformer-based Mirror Detection, [Paper],[Code]
(arXiv 2022.07) Transformer-based Context Condensation for Boosting Feature Pyramids in Object Detection, [Paper]
(arXiv 2022.07) Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection, [Paper]
(arXiv 2022.07) Conditional DETR V2: Efficient Detection Transformer with Box Queries, [Paper]
(arXiv 2022.07) Group DETR: Fast Training Convergence with Decoupled One-to-Many Label Assignment, [Paper]
(arXiv 2022.07) DETRs with Hybrid Matching, [Paper], [Code]
(arXiv 2022.07) Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion, [Paper],[Code]
(arXiv 2022.08) An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection, [Paper]
(arXiv 2022.08) Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors, [Paper], [Project]
(arXiv 2022.08) Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection, [Paper]
(arXiv 2022.09) SEFormer: Structure Embedding Transformer for 3D Object Detection, [Paper]
(arXiv 2022.09) Vision Transformers and YoloV5 based Driver Drowsiness Detection Framework, [Paper]
(arXiv 2022.09) Sar Ship Detection based on Swin Transformer and Feature Enhancement Feature Pyramid Network, [Paper]
(arXiv 2022.09) CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection, [Paper],[Code]
(arXiv 2022.09) A lightweight Transformer-based model for fish landmark detection, [Paper]
(arXiv 2022.09) ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers, [Paper]
(arXiv 2022.09) CenterFormer: Center-based Transformer for 3D Object Detection, [Paper], [Project]
(arXiv 2022.09) CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer, [Paper]
(arXiv 2022.10) Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning, [Paper]
(arXiv 2022.10) MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving, [Paper]
(arXiv 2022.10) Li3DeTr: A LiDAR based 3D Detection Transformer, [Paper]
(arXiv 2022.10) Pair DETR: Contrastive Learning Speeds Up DETR Training, [Paper]
(arXiv 2022.11) SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency, [Paper]
(arXiv 2022.11) Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining, [Paper]
(arXiv 2022.11) Teach-DETR: Better Training DETR with Teachers, [Paper],[Code]
(arXiv 2022.11) DETRs with Collaborative Hybrid Assignments Training, [Paper],[Code]
(arXiv 2022.11) DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding, [Paper],[Code]
(arXiv 2022.11) How to Backpropagate through Hungarian in Your DETR, [Paper]
(arXiv 2022.11) Concealed Object Detection for Passive Millimeter-Wave Security Imaging Based on Task-Aligned Detection Transformer, [Paper]
(arXiv 2022.12) Recurrent Vision Transformers for Object Detection with Event Cameras, [Paper]
(arXiv 2022.12) CNN-transformer mixed model for object detection, [Paper]
(arXiv 2022.12) DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention, [Paper]
(arXiv 2022.12) GPTR: Gestalt-Perception Transformer for Diagram Object Detection, [Paper]
(arXiv 2023.01) Dynamic Background Reconstruction via Transformer for Infrared Small Target Detection, [Paper]
(arXiv 2023.01) Learning to View: Decision Transformers for Active Object Detection, [Paper]
(arXiv 2023.01) Aerial Image Object Detection With Vision Transformer Detector, [Paper]
(arXiv 2023.01) Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors, [Paper]
(arXiv 2023.01) IH-ViT: Vision Transformer-based Integrated Circuit Appear-ance Defect Detection, [Paper]
(arXiv 2023.02) Team-DETR: Guide Queries as a Professional Team in Detection Transformers, [Paper],[Code]
(arXiv 2023.02) Hyneter: Hybrid Network Transformer for Object Detection, [Paper]
(arXiv 2023.02) KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer, [Paper],[Code]
(arXiv 2023.03) D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers, [Paper]
(arXiv 2023.03) FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation, [Paper],[Code]
(arXiv 2023.03) A Computer Vision Enabled damage detection model with improved YOLOv5 based on Transformer Prediction Head, [Paper]
(arXiv 2023.03) ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer, [Paper],[Code]
(arXiv 2023.03) Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR, [Paper],[Code]
(arXiv 2023.03) FAQ: Feature Aggregated Queries for Transformer-based Video Object Detectors, [Paper]
(arXiv 2023.03) Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch, [Paper]
(arXiv 2023.03) SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers, [Paper]
(arXiv 2023.03) MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer, [Paper]
(arXiv 2023.03) Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection, [Paper]
(arXiv 2023.03) Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers, [Paper],[Code]
(arXiv 2023.03) T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals, [Paper]
(arXiv 2023.03) SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer, [Paper],[Code]
(arXiv 2023.04) Siamese DETR, [Paper],[Code]
(arXiv 2023.04) Training Strategies for Vision Transformers for Object Detection, [Paper]
(arXiv 2023.04) Language-aware Multiple Datasets Detection Pretraining for DETRs, [Paper]
(arXiv 2023.04) Detection Transformer with Stable Matching, [Paper],[Code]
(arXiv 2023.04) Use the Detection Transformer as a Data Augmenter, [Paper]
(arXiv 2023.04) DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection, [Paper]
(arXiv 2023.04) DETRs Beat YOLOs on Real-time Object Detection, [Paper]
(arXiv 2023.04) DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition, [Paper]
(arXiv 2023.04) Align-DETR: Improving DETR with Simple IoU-aware BCE loss, [Paper],[Code]
(arXiv 2023.04) Transformer-based stereo-aware 3D object detection from binocular images, [Paper]
(arXiv 2023.05) End to End Lane detection with One-to-Several Transformer, [Paper],[Code]
(arXiv 2023.05) TransCAR: Transformer-based Camera-And-Radar Fusion for 3D Object Detection, [Paper],[Code]
(arXiv 2023.05) SSD-MonoDTR: Supervised Scale-constrained Deformable Transformer for Monocular 3D Object Detection, [Paper],[Code]
(arXiv 2023.05) RHINO: Rotated DETR with Dynamic Denoising via Hungarian Matching for Oriented Object Detection, [Paper]
(arXiv 2023.06) detrex: Benchmarking Detection Transformers, [Paper],[Code]
(arXiv 2023.06) Revisiting Token Pruning for Object Detection and Instance Segmentation, [Paper]
(arXiv 2023.06) Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images, [Paper]
(arXiv 2023.06) C2Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection, [Paper],[Code]
(arXiv 2023.07) PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers, [Paper]
(arXiv 2023.07) Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection, [Paper],[Code]
(arXiv 2023.07) Box-DETR: Understanding and Boxing Conditional Spatial Queries, [Paper],[Code]
(arXiv 2023.07) Semi-DETR: Semi-Supervised Object Detection with Detection Transformers, [Paper],[Code]
(arXiv 2023.07) Cascade-DETR: Delving into High-Quality Universal Object Detection, [Paper],[Code]
(arXiv 2023.07) Less is More: Focus Attention for Efficient DETR, [Paper], [Code]
(arXiv 2023.07) DQ-Det: Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation, [Ppaer]
(arXiv 2023.07) Enhancing Your Trained DETRs with Box Refinement, [Paper], [Code]
(arXiv 2023.07) RecursiveDet: End-to-End Region-based Recursive Object Detection, [Paper], [Code]
(arXiv 2023.07) SimDETR: Simplifying self-supervised pretraining for DETR, [Paper]
(arXiv 2023.08) Revisiting DETR Pre-training for Object Detection, [Paper]
(arXiv 2023.08) DETR Doesn鈥檛 Need Multi-Scale or Locality Design, [Paper], [Code]
(arXiv 2023.08) FocalFormer3D : Focusing on Hard Instance for 3D Object Detection, [Paper], [Code]
(arXiv 2023.08) V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection, [Paper], [Code]
(arXiv 2023.08) SODFormer: Streaming Object Detection with Transformer Using Events and Frames, [Paper], [Code]
(arXiv 2023.08) Spatial Transform Decoupling for Oriented Object Detection, [Paper], [Code]
(arXiv 2023.08) Towards a High-Performance Object Detector: Insights from Drone Detection Using ViT and CNN-based Deep Learning Models, [Paper]
(arXiv 2023.08) Enhancing Landmark Detection in Cluttered Real-World Scenarios with Vision Transformers, [Paper]
(arXiv 2023.09) Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object Detection, [Paper], [Code]
(arXiv 2023.09) OccupancyDETR: Making Semantic Scene Completion as Straightforward as Object Detection, [Paper], [Code]
(arXiv 2023.10) Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection, [Paper], [Code]
(arXiv 2023.10) Uni3DETR: Unified 3D Detection Transformer, [Paper], [Code]
(arXiv 2023.10) SimPLR: A Simple and Plain Transformer for Object Detection and Segmentation, [Paper]
(arXiv 2023.10) Rank-DETR for High Quality Object Detection, [Paper], [Code]
(arXiv 2023.10) Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images, [Paper]
(arXiv 2023.10) Multi Self-supervised Pre-fine-tuned Transformer Fusion for Better Intelligent Transportation Detection, [Paper]
(arXiv 2023.10) Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection, [Paper]
(arXiv 2023.10) Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient, [Paper]
(arXiv 2023.11) AiluRus: A Scalable ViT Framework for Dense Prediction, [Paper], [Code]
(arXiv 2023.11) TokenMotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection Via Learnable Token Selection, [Paper]
(arXiv 2023.11) Cal-DETR: Calibrated Detection Transformer, [Paper], [Code]
(arXiv 2023.11) FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion, [Paper]
(arXiv 2023.11) Algorithms for Object Detection in Substations, [Paper]
(arXiv 2023.11) Improved Dense Nested Attention Network Based on Transformer for Infrared Small Target Detection, [Paper]
(arXiv 2023.11) Decoupled DETR For Few-shot Object Detection, [Paper]
(arXiv 2023.12) RotaTR: Detection Transformer for Dense and Rotated Object, [Paper]
(arXiv 2023.12) Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps, [Paper]
(arXiv 2023.12) Context Enhanced Transformer for Single Image Object Detection, [Paper], [Code]
(arXiv 2024.01) TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection, [Paper], [Code]
(arXiv 2024.01) MS-DETR: Efficient DETR Training with Mixed Supervision, [Paper]
(arXiv 2024.01) YOLO-Former: YOLO Shakes Hand With ViT, [Paper]
(arXiv 2024.01) Small Object Detection by DETR via Information Augmentation and Adaptive Feature Fusion, [Paper]
(arXiv 2024.01) SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection, [Paper], [Code]
(arXiv 2024.01) TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection, [Paper]
(arXiv 2024.02) Deployment Prior Injection for Run-time Calibratable Object Detection, [Paper]
(arXiv 2024.03) DAMS-DETR: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion, [Paper], [Code]
(arXiv 2024.03) AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection, [Paper], [Code]
(arXiv 2024.03) SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras, [Paper], [Code]
(arXiv 2024.03) LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors, [Paper], [Project]
(arXiv 2024.03) Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement, [Paper], [Code]
(arXiv 2024.03) Illicit object detection in X-ray images using Vision Transformers, [Paper]
(arXiv 2024.04) Scene Adaptive Sparse Transformer for Event-based Object Detection, [Paper], [Code]
(arXiv 2024.04) Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection, [Paper]
(arXiv 2024.04) DQ-DETR: DETR with Dynamic Query for Tiny Object Detection, [Paper]
(arXiv 2024.04) DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection, [Paper], [Code]
(arXiv 2024.04) Improving Detection in Aerial Images by Capturing Inter-Object Relationships, [Paper]
(arXiv 2024.04) MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection, [Paper], [Code]
(arXiv 2024.05) Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer, [Paper]
(arXiv 2024.05) C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks, [Paper]
(arXiv 2024.05) Low-light Object Detection, [Paper]
(arXiv 2024.05) Enhancing DETRs Variants through Improved Content Query and Similar Query Aggregation, [Paper]
(arXiv 2024.05) SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network, [Paper], [Code]
(arXiv 2024.05) MonoDETRNext: Next-generation Accurate and Efficient Monocular 3D Object Detection Method, [Paper]
(arXiv 2024.06) MMCL: Boosting Deformable DETR-Based Detectors with Multi-Class Min-Margin Contrastive Learning for Superior Prohibited Item Detection, [Paper], [Code]
(arXiv 2024.06) LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection, [Paper], [Code]
(arXiv 2024.06) Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models, [Paper]
(arXiv 2024.06) OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer, [Paper]
(arXiv 2024.06) A DeNoising FPN With Transformer R-CNN for Tiny Object Detection, [Paper], [Code]
(arXiv 2024.06) CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer, [Paper], [Code]
(arXiv 2024.07) Relation DETR: Exploring Explicit Position Relation Prior for Object Detection, [Paper], [Code]
(arXiv 2024.07) LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction, [Paper]
(arXiv 2024.07) OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer, [Paper], [Code]
(arXiv 2024.07) PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction, [Paper], [Code]
(arXiv 2024.07) RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer, [Paper], [Code]
(arXiv 2024.07) Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images, [Paper], [Code]
(arXiv 2024.08) Spatial Transformer Network YOLO Model for Agricultural Object Detection, [Paper], [Code]
(arXiv 2024.08) DPDETR: Decoupled Position Detection Transformer for Infrared-Visible Object Detection, [Paper], [Code]
(arXiv 2024.08) OVA-DETR: Open Vocabulary Aerial Object Detection Using Image-Text Alignment and Fusion, [Paper], [Code]
(arXiv 2024.08) Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection, [Paper], [Code]
(arXiv 2024.08) Object Detection for Vehicle Dashcams using Transformers, [Paper]
(arXiv 2024.09) Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach, [Paper]
(arXiv 2024.09) Knowledge Distillation via Query Selection for Detection Transformer, [Paper]
(arXiv 2024.09) ENACT: Entropy-based Clustering of Attention Input for Improving the Computational Performance of Object Detection Transformers, [Paper], [Code]
(arXiv 2024.09) Real-Time Detection of Electronic Components in Waste Printed Circuit Boards: A Transformer-Based Approach, [Paper]
(arXiv 2024.10) CBAM-SwinT-BL: Small Rail Surface Defect Detection Method Based on Swin Transformer with Block Level CBAM Enhancement, [Paper]
(arXiv 2024.10) Cross Resolution Encoding-Decoding For Detection Transformers, [Paper], [Code]
(arXiv 2024.10) SeaDATE: Remedy Dual-Attention Transformer with Semantic Alignment via Contrast Learning for Multimodal Object Detection, [Paper]
(arXiv 2024.10) D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement, [Paper], [Code]
(arXiv 2024.10) DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model, [Paper]
(arXiv 2024.10) Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models, [Paper], [Code]
(arXiv 2024.10) PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection, [Paper]
(arXiv 2024.10) Unbiased Regression Loss for DETRs, [Paper]
(arXiv 2024.11) RETR: Multi-View Radar Detection Transformer for Indoor Perception, [Paper]
(arXiv 2024.11) MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection, [Paper]
(arXiv 2024.12) Identifying Reliable Predictions in Detection Transformers, [Paper], [Code]
(arXiv 2024.12) Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable, [Paper], [Code]
(arXiv 2024.12) Excretion Detection in Pigsties Using Convolutional and Transformerbased Deep Neural Networks, [Paper], [Code]
(arXiv 2024.12) Elastic-DETR: Making Image Resolution Learnable with Content-Specific Network Prediction, [Paper]
(arXiv 2024.12) RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection, [Paper]
(arXiv 2024.12) UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection, [Paper], [Code]
(arXiv 2024.12) Mr. DETR: Instructive Multi-Route Training for Detection Transformers, [Paper]
(arXiv 2024.12) CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection, [Paper]
(arXiv 2025.01) CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors, [Paper]
(arXiv 2025.01) TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection, [Paper], [Code]
(arXiv 2025.02) MonoDINO-DETR: Depth-Enhanced Monocular 3D Object Detection Using a Vision Foundation Model, [Paper], [Code]
(arXiv 2025.02) LP-DETR: Layer-wise Progressive Relations for Object Detection, [Paper]
(arXiv 2025.02) SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer, [Paper]
(arXiv 2025.02) RT-DEMT: A hybrid real-time acupoint detection model combining mamba and transformer, [Paper]
(arXiv 2025.02) CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query, [Paper]
(arXiv 2025.03) MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism, [Paper]
(arXiv 2025.03) FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object Detection, [Paper], [Code]
(arXiv 2025.03) Fractional Correspondence Framework in Detection Transformer, [Paper]
(arXiv 2025.03) BOOTPLACE: Bootstrapped Object Placement with Detection Transformers, [Paper], [Code]
(arXiv 2025.04) WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer, [Paper]
(arXiv 2025.04) Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization, [Paper]
(arXiv 2025.04) DenSe-AdViT: A novel Vision Transformer for Dense SAR Object Detection, [Paper]
(arXiv 2025.04) DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images, [Paper], [Code]
(arXiv 2025.04) DG-DETR: Toward Domain Generalized Detection Transformer, [Paper], [Code]
(arXiv 2025.04) Style-Adaptive Detection Transformer for Single-Source Domain Generalized Object Detection, [Paper], [Code]
(arXiv 2025.06) A Dynamic Transformer Network for Vehicle Detection, [Paper], [Code]
(arXiv 2025.07) MS-DETR: Towards Effective Video Moment Retrieval and Highlight Detection by Joint Motion-Semantic Learning, [Paper], [Code]
(arXiv 2025.07) Frequency-Dynamic Attention Modulation for Dense Prediction, [Paper], [Code]

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