Detection Transformer

Also known as DETR

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2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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Latest papers 53

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LiG-DETR: Local-in-Global Reassembly in Latent Space for Aerial Object Detection
Oct 7, 2026Yupeng Zhang, Fangzhuo Gao, Juntao Cheng +3Aerial Object Detection Remote Sensing Small Object Detection
Tianjin University. · Shanghai Jiaotong University. · Shanghai AI Laboratory. +1
RT-DETR-World: Transferring Rich LLM Semantics to Real-Time Open-Vocabulary Detection
Oct 7, 2026Yupeng Zhang, Ziyi Zhao, Juntao Cheng +4Open-Vocabulary Object Detection Real-Time Object Detection
Tianjin University. · Shenzhen University of Advanced Technology. · Shanghai Jiaotong University. +1
Revisiting Frame-Wise Saliency for Audio Moment Retrieval
Oct 5, 2026Tatsuya Komatsu, Hokuto MunakataDetection Transformer Audio Understanding
LY Corporation, Tokyo, Japan
Order Matters: Competition-Guided Query Ordering for RNN-Based Object Detection
Oct 4, 2026Shengjian Wu, Li Sun, Yu Shangguan +1Detection Transformer Object Detection
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University · FinVolution Group · Key Laboratory of Advanced Theory and Application in Statistics and Data Science, East China Normal University
Enhanced Knowledge Distillation for Detection Transformer via Teacher Prediction Refinement
Sep 17, 2026Yitong Xing, Yuhao Cheng, Yanping Li +1Detection Transformer Object Detection
School of Computer Science, Shanghai Jiao Tong University, Shanghai 200240, China
A Comparative Evaluation of Deep Learning Object Detection Models on a Real-World Multi-Plant Dataset from Africa
Aug 11, 2026Ismail Ismail Tijjani, Sunusi Muhammad Ibrahim, Amina Ibrahim Khaleel +5Agricultural Image Analysis Detection Transformer
Department of Mechatronics Engineering, Bayero University, Kano, Nigeria. · Department of Chemical and Petroleum Engineering, Bayero University, Kano, Nigeria. · Department of Artificial Intelligence and Cybersecurity, Alpen-Adria-Universität Klagenfurt, Austria. +4
Modern Backbones Improve Multi-task DETR for Mammography Classification and Lesion Localization
Aug 10, 2026Dinh Tan Nguyen, Quang-Hien Kha, Le-Hoang Nguyen +8Detection Transformer Multi-Task Learning
University of Technology Sydney, Australia. · Saigon Precision Medicine Research Center, Vietnam. · College of Medicine, Taipei Medical University, Taiwan. +3
Where Is the Bee? Detecting Tiny Pollinators with a Single Collaborative-Head Transformer
Aug 9, 2026Junsu Kim, Seungryul BaekSmall Object Detection Detection Transformer
UNIST, South Korea
Corrupting Attention: Evasion-Based Adversarial Attacks on Encoder Attention in Detection Transformers
Aug 7, 2026Ridma Jayasundara, Shaheer Mohamed, Tharindu Fernando +6Adversarial Attacks Adversarial Robustness
Signal Processing, Artificial Intelligence and Vision Technologies Group (SAIVT), Queensland University of Technology · Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore · School of Computing, National University of Singapore +1
Advancing Utility Pole and Sign Detection Through Deep Learning
Aug 4, 2026Carl Dickinson, Gaetano Di CaterinaDetection Transformer Object Detection
University of Strathclyde United Kingdom
Probing the 3D Object-Level Understanding of Pre-Trained Detection Transformers
Aug 2, 2026Robin Kim, Colin Samplawski, Benjamin M. MarlinDetection Transformer Representation Probing
UMass Amherst, Amherst, MA, USA · SRI International, Menlo Park, CA, USA
Beyond Symmetric Fusion: Exploiting Task-Dependent Modality Strengths for RGB-Event Small Object Detection
Aug 2, 2026Ziheng Wang, Chaolang Li, Yutong Yang +5Small Object Detection Detection Transformer
Sun Yat-sen University · Shenzhen University
Enabling Fully Integer-Only Inference for Lightweight Detection Transformers
Jul 27, 2026Thanh Cong Le, Michal Szczepanski, Martyna PorebaEfficient Transformer Inference Efficient Inference
Université Paris-Saclay, CEA, List, Palaiseau, F-91120, France
Small-Pollinator Detection in Cluttered Field Video
Jul 24, 2026Onur Onal, Chen ChenSmall Object Detection Detection Transformer
Iowa State University · Iowa State University, Ames, IA, USA · Institute of AI, University of Central Florida +1
Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR
Jul 21, 2026Nian Liu, Yuxin Yang, Shubo Lin +6Infrared Small Target Detection Detection Transformer
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China · School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing 101408, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 101408, China +3
DETRAM: End-to-end DEtection, Tracking and Recovery of HumAn Meshes
Jul 10, 2026Chunggi Lee, Seonwook Park, Wanhua Li +23D Reconstruction Human Mesh Recovery
1Harvard University · 2NVIDIA · 3Nanyang Technological University
LOGOS: Language-guided Oriented Object Detection in Aerial Scenes
Jul 9, 2026Trong-Thuan Nguyen, Minh-Triet TranDetection Transformer Object Detection
University of Science, VNU-HCM, Vietnam · Vietnam National University, Ho Chi Minh City, Vietnam
FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small Object Detection
Jul 6, 2026Aiwen Liu, Chengguang Zhu, Gang Wang +5Small Object Detection Detection Transformer
Micro-Intelligence, Shanghai 201100, China · East China Normal University, Shanghai 200241, China · Chongqing Normal University, Chongqing 401331, China +1
Dual Sparse Aggregation Transformer for Multispectral Object Detection
Jun 30, 2026Wencong Wu, Xiuwei Zhang, Hanlin Yin +2Multispectral Object Detection Detection Transformer
School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China · School of Computer Science, the Shaanxi Provincial Key Laboratory of Speech and Image Information Processing and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi’an 710072, China · School of Cybersecurity, Northwestern Polytechnical University, Xi’an 710072, China
FR-DETR: Frequency and Recurrent Feature Refinement for Robust Object Detection under Adverse Weather
Jun 29, 2026Tuan-Duc Nguyen, Duc-Trong LeFrequency-Domain Feature Learning Detection Transformer
FPT Software AI Center · VNU University of Engineering and Technology
CellDETR: A Detection-Guided Framework for Scalable Cell Representation Learning from Histopathology Images
Jun 28, 2026Shikang Zhang, Guojun Li, Yicong Mao +1Representation Learning Detection Transformer
Zhejiang University of Technology · Tianjin University · Hangzhou Institute of Medicine, Chinese Academy of Sciences
Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling
Jun 26, 2026Zhaoning Shi, Bo Ma, Hao Xu +2Memory-Augmented Neural Networks Detection Transformer
Beijing institute of Technology
VistaRef: Boosting Visual Spatial Orientation Awareness for Pointing-to-Object Detection
Jun 23, 2026Ling Li, Zhizhen Cai, Xinkun Wu +4Visual Spatial Reasoning Detection Transformer
Tsinghua University Beijing Shi, China · Beijing University of Posts and Telecommunications Beijing Shi, China · Tsinghua Shenzhen International Graduate School Shenzhen, Guangdong, China +1
Improving and Evaluating Hand-Object Interaction Detection
Jun 16, 2026Ahmad Darkhalil, Dima Damen, David FouheyDetection Transformer Human-Object Interaction
School of Computer Science University of Bristol, Bristol, UK · Computer Science and Electrical and Computer Engineering New York University, NY, US
Text region detection in historical astronomical diagrams
Jun 14, 2026Zeynep Sonat Baltacı, Raphaël Baena, Fei Meng +4Document Understanding Historical Document Analysis
LIGM, ENPC, IP Paris, Univ Gustave Eiffel, CNRS, Marne-la-Vallée, France · LTE, CNRS, PSL-Observatoire de Paris, SU, EIDA Project
Focus, Align, and Sustain: Counteracting Gradient Dilution in Incremental Object Detection
Jun 13, 2026Aoting Zhang, Dongbao Yang, Chang Liu +2Class-Incremental Learning Detection Transformer
Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences · Nankai University +2
Gaussian Spatial Priors for Anatomy-Aware Object Detection in Surgical Videos
Jun 13, 2026Yunfan Li, Artem Shmelev, Himanshu GuptaMedical Image Analysis Detection Transformer
Stony Brook University, Stony Brook NY 11794, USA · Stony Brook University Hospital, Stony Brook NY 11794, USA
VL-DINO: Leveraging CLIP Vision-Language Knowledge for Open-Vocabulary Object Detectio
Jun 10, 2026Hao Zhang, Qinran Lin, Linqi Song +1Open-Vocabulary Object Detection Detection Transformer
Chongqing University, Chongqing, China · City University of Hong Kong, Hong Kong, China
RT-SDGOD: Real-Time Single-Domain Generalized Object Detection
Jun 8, 2026Yupeng Zhang, Fangzhuo Gao, Ruize Han +2Detection Transformer Cross-Domain Generalization
College of Intelligence and Computing, Tianjin University · Key Research Center for Surface Monitoring and Analysis of Relics, State Administration of Cultural Heritage · Faculty of Computer Science and Artificial Intelligence, Shenzhen University of Advanced Technology
Aqua Boundary-Saliency Attention Module for Lightweight Underwater Salient Instance Segmentation Detection Transformer
Jun 6, 2026M. Fazri Nizar, Julian Supardi, Muhammad Naufal RachmatullahUnderwater Imaging Instance Segmentation
Department of Informatics Engineering, Universitas Sriwijaya, Indonesia

Oct 7, 2026, cs.CVJ/K move · Enter open · S save

LiG-DETR: Local-in-Global Reassembly in Latent Space for Aerial Object Detection

Yupeng Zhang, Fangzhuo Gao, Juntao Cheng, Ziyi Zhao+2

Tianjin University. · Shanghai Jiaotong University. · Shanghai AI Laboratory.+1

Aerial Object Detection Remote Sensing Small Object Detection Efficient Object Detection Detection Transformer

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Aerial object detection faces substantial scale and density variations. Small objects are easily degraded by downsampling and feature compression, while medium and large objects require sufficient global context. Existing methods mainly follow two paradigms: image slicing provides clearer local evidence but relies on independent crop-level prediction and post-processing, whereas feature- and query-level optimization preserves unified inference but operates on already compressed full-image representations, limiting recovery of fine-grained information. This raises a key question: can aerial detection directly acquire high-fidelity local evidence before feature degradation and integrate it into a unified end-to-end framework? To this end, we propose LiG-DETR, an Efficient Global-Local Reassembly framework that reformulates image slicing as high-fidelity local feature acquisition. A shared encoder extracts global and locally magnified features, which are projected into the detector feature space. The projected local features are reassembled according to their original spatial locations to form a globally aligned local feature level, and a single DETR decoder jointly decodes global and local features. To reduce redundant computation, Context-Preserved Selective Reassembly focuses high-resolution encoding on informative regions while preserving a dense feature layout, and Density-Aware Adaptive Query Allocation adapts the decoder query budget using encoder proposal scores. Experiments show substantial gains on small and medium objects while retaining strong large-object performance, with favorable accuracy--efficiency trade-offs and improved cross-domain generalization. The code will be released.

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