Wen, F.[Feng],
Wang, M.[Mei],
Hu, X.J.[Xiao-Jie],
DFAM-DETR: Deformable Feature Based Attention Mechanism DETR on Slender
Object Detection,
IEICE(E106-D), No. 3, March 2023, pp. 401-409.
WWW Link.
2303
BibRef
Li, S.B.[Shi-Bao],
Jia, Z.K.[Ze-Kun],
Liu, Y.X.[Yi-Xuan],
Cui, X.R.[Xue-Rong],
Liu, J.H.[Jian-Hang],
Huang, T.P.[Ting-Pei],
Xu, J.[Jiuyun],
CLS-DETR: A DETR-series object detection network using classification
information to accelerate convergence,
PRL(165), 2023, pp. 168-175.
Elsevier DOI
2301
Artificial intelligence, Deep learning, Object detection
BibRef
Dai, L.H.[Lin-Hui],
Liu, H.[Hong],
Tang, H.[Hao],
Wu, Z.W.[Zhi-Wei],
Song, P.[Pinhao],
AO2-DETR: Arbitrary-Oriented Object Detection Transformer,
CirSysVideo(33), No. 5, May 2023, pp. 2342-2356.
IEEE DOI
2305
Proposals, Transformers, Feature extraction, Object detection,
Detectors, Task analysis, Pipelines, Oriented object detection,
feature refinement
BibRef
Dai, Z.G.[Zhi-Gang],
Cai, B.[Bolun],
Lin, Y.G.[Yu-Geng],
Chen, J.Y.[Jun-Ying],
Unsupervised Pre-Training for Detection Transformers,
PAMI(45), No. 11, November 2023, pp. 12772-12782.
IEEE DOI
2310
BibRef
Earlier:
UP-DETR: Unsupervised Pre-training for Object Detection with
Transformers,
CVPR21(1601-1610)
IEEE DOI
2111
Location awareness, Training data, Object detection, Transformers,
Feature extraction, Natural language processing
BibRef
Zhang, G.J.[Gong-Jie],
Luo, Z.P.[Zhi-Peng],
Cui, K.W.[Kai-Wen],
Lu, S.J.[Shi-Jian],
Xing, E.P.[Eric P.],
Meta-DETR: Image-Level Few-Shot Detection With Inter-Class
Correlation Exploitation,
PAMI(45), No. 11, November 2023, pp. 12832-12843.
IEEE DOI
2310
BibRef
Zhang, G.J.[Gong-Jie],
Luo, Z.P.[Zhi-Peng],
Huang, J.X.[Jia-Xing],
Lu, S.J.[Shi-Jian],
Xing, E.P.[Eric P.],
Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale
Feature Fusion,
IJCV(132), No. 8, August 2024, pp. 2825-2844.
Springer DOI
2408
BibRef
Huang, L.J.[Lin-Jiang],
Lu, K.X.[Kai-Xin],
Song, G.L.[Guang-Lu],
Wang, L.[Liang],
Liu, S.[Si],
Liu, Y.[Yu],
Li, H.S.[Hong-Sheng],
Teach-DETR: Better Training DETR With Teachers,
PAMI(45), No. 12, December 2023, pp. 15759-15771.
IEEE DOI
2311
BibRef
Feng, Y.X.[Yun-Xiang],
You, Y.[Yanan],
Tian, J.[Jing],
Meng, G.[Gang],
OEGR-DETR: A Novel Detection Transformer Based on Orientation
Enhancement and Group Relations for SAR Object Detection,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link
2401
BibRef
Shi, F.Y.[Feng-Yuan],
Gao, R.P.[Ruo-Peng],
Huang, W.L.[Wei-Lin],
Wang, L.M.[Li-Min],
Dynamic MDETR: A Dynamic Multimodal Transformer Decoder for Visual
Grounding,
PAMI(46), No. 2, February 2024, pp. 1181-1198.
IEEE DOI
2401
Visual grounding, multimodal transformer, 2D adaptive sampling,
text guided decoding, dynamic structure
BibRef
Wang, Y.[Yao],
Ha, J.E.[Jong-Eun],
Improved Object Detection with Content and Position Separation in
Transformer,
RS(16), No. 2, 2024, pp. 353.
DOI Link
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Li, F.[Feng],
Zhang, H.[Hao],
Liu, S.L.[Shi-Long],
Guo, J.[Jian],
Ni, L.M.[Lionel M.],
Zhang, L.[Lei],
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising,
PAMI(46), No. 4, April 2024, pp. 2239-2251.
IEEE DOI
2403
BibRef
Earlier:
CVPR22(13609-13617)
IEEE DOI
2210
Training, Noise reduction, Convergence, Decoding, Transformers,
Task analysis, Detectors, DETR, denoising training, vision transformer.
Codes, Recognition: detection,
Vision applications and systems
BibRef
Fang, R.Y.[Rong-Yao],
Gao, P.[Peng],
Zhou, A.[Aojun],
Cai, Y.J.[Ying-Jie],
Liu, S.[Si],
Dai, J.F.[Ji-Feng],
Li, H.S.[Hong-Sheng],
FeatAug-DETR: Enriching One-to-Many Matching for DETRs With Feature
Augmentation,
PAMI(46), No. 9, September 2024, pp. 6402-6415.
IEEE DOI
2408
Detectors, Training, Transformers, Feature extraction, Decoding,
Convergence, Pose estimation, Detection transformer,
accelerating training
BibRef
Zhang, M.Y.[Man-Yuan],
Song, G.L.[Guang-Lu],
Liu, Y.[Yu],
Li, H.S.[Hong-Sheng],
Decoupled DETR: Spatially Disentangling Localization and
Classification for Improved End-to-End Object Detection,
ICCV23(6578-6587)
IEEE DOI
2401
BibRef
Zhang, R.R.[Ren-Rui],
Qiu, H.[Han],
Wang, T.[Tai],
Guo, Z.Y.[Zi-Yu],
Cui, Z.T.[Zi-Teng],
Qiao, Y.[Yu],
Li, H.S.[Hong-Sheng],
Gao, P.[Peng],
MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection,
ICCV23(9121-9132)
IEEE DOI Code:
WWW Link.
2401
BibRef
Gao, P.[Peng],
Zheng, M.H.[Ming-Hang],
Wang, X.G.[Xiao-Gang],
Dai, J.F.[Ji-Feng],
Li, H.S.[Hong-Sheng],
Fast Convergence of DETR with Spatially Modulated Co-Attention,
ICCV21(3601-3610)
IEEE DOI
2203
Training, Representation learning, Visualization, Schedules, Costs,
Object detection, Transformers, Vision applications and systems
BibRef
Song, H.[Hwanjun],
Bang, J.[Jihwan],
Prompt-guided DETR with RoI-pruned masked attention for
open-vocabulary object detection,
PR(155), 2024, pp. 110648.
Elsevier DOI Code:
WWW Link.
2408
Object detection, Open-vocabulary detection, OVD, Transformer
BibRef
Ran, Z.L.[Zi-Lin],
Lu, C.[Chao],
Hu, Y.P.[Yun-Peng],
Yang, D.[Dehe],
Sun, X.Y.[Xiao-Ying],
Zhima, Z.[Zeren],
Automatic Detection of Quasi-Periodic Emissions from Satellite
Observations by Using DETR Method,
RS(16), No. 15, 2024, pp. 2850.
DOI Link
2408
BibRef
Chen, H.[Hang],
Tang, C.F.[Chu-Feng],
Hu, X.L.[Xiao-Lin],
DHS-DETR: Efficient DETRs with dynamic head switching,
CVIU(248), 2024, pp. 104106.
Elsevier DOI
2409
Object detection, Dynamic neural networks, Knowledge distillation
BibRef
Yu, C.[Chushi],
Shin, Y.[Yoan],
MCG-RTDETR: Multi-Convolution and Context-Guided Network with
Cascaded Group Attention for Object Detection in Unmanned Aerial
Vehicle Imagery,
RS(16), No. 17, 2024, pp. 3169.
DOI Link
2409
BibRef
Wang, X.J.[Xiao-Juan],
Xi, B.[Bobo],
Xu, H.T.[Hai-Tao],
Zheng, T.[Tie],
Xue, C.B.[Chang-Bin],
AgeDETR: Attention-Guided Efficient DETR for Space Target Detection,
RS(16), No. 18, 2024, pp. 3452.
DOI Link
2410
BibRef
Zhang, Y.F.[Yi-Fan],
Zhu, Z.Y.[Zhi-Yu],
Hou, J.H.[Jun-Hui],
Wu, D.P.[Da-Peng],
Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object
Detection,
PAMI(46), No. 12, December 2024, pp. 10614-10628.
IEEE DOI
2411
Object detection, Detectors, Transformers, Solid modeling,
Point cloud compression, Predictive models, autonomous driving
BibRef
Yu, W.L.[Wen-Long],
Liu, R.N.[Ruo-Nan],
Chen, D.[Dongyue],
Hu, Q.H.[Qing-Hua],
Explainability Enhanced Object Detection Transformer With Feature
Disentanglement,
IP(33), 2024, pp. 6439-6454.
IEEE DOI
2411
Feature extraction, Transformers, Object detection,
Mathematical models, Computational modeling, Analytical models,
object detection
BibRef
Yang, F.F.[Fei-Fan],
Chen, G.[Gang],
Duan, J.S.[Jian-Shu],
Skip-Encoder and Skip-Decoder for Detection Transformer in Optical
Remote Sensing,
RS(16), No. 16, 2024, pp. 2884.
DOI Link
2408
BibRef
Wang, H.M.[Hong-Mei],
Li, C.[Chenkai],
Wu, Q.[Qiaorong],
Wang, J.Y.[Jing-Yu],
An Improved DETR Based on Angle Denoising and Oriented Boxes
Refinement for Remote Sensing Object Detection,
RS(16), No. 23, 2024, pp. 4420.
DOI Link
2501
BibRef
Dong, C.G.[Chen-Guang],
Jiang, S.[Shan],
Sun, H.J.[Hai-Jiang],
Li, J.[Jiang],
Yu, Z.L.[Zheng-Lei],
Wang, J.S.[Jia-Song],
Wang, J.C.[Jia-Cheng],
QEDetr: DETR with Query Enhancement for Fine-Grained Object Detection,
RS(17), No. 5, 2025, pp. 893.
DOI Link
2503
BibRef
Li, Z.H.[Zheng-Hao],
Zhou, X.[Xin],
Refined Deformable-DETR for SAR Target Detection and Radio Signal
Detection,
RS(17), No. 8, 2025, pp. 1406.
DOI Link
2505
BibRef
Li, Z.X.[Zhao-Xu],
An, W.[Wei],
Guo, G.W.[Gao-Wei],
Wang, L.G.[Long-Guang],
Wang, Y.Q.[Ying-Qian],
Lin, Z.P.[Zai-Ping],
SpecDETR: A transformer-based hyperspectral point object detection
network,
PandRS(226), 2025, pp. 221-246.
Elsevier DOI Code:
WWW Link.
2506
Hyperspectral target detection, Point object detection, Detection Transformer
BibRef
Ge, X.[Xin],
Qi, L.P.[Li-Ping],
Yan, Q.S.[Qing-Sen],
Sun, J.Q.[Jin-Qiu],
Zhu, Y.[Yu],
Zhang, Y.N.[Yan-Ning],
Enhancing Real-Time Aerial Image Object Detection with High-Frequency
Feature Learning and Context-Aware Fusion,
RS(17), No. 12, 2025, pp. 1994.
DOI Link
2506
BibRef
Mao, Y.[Yi],
Zhang, H.[Haowei],
Li, R.[Rui],
Zhu, F.[Feng],
Sun, R.[Rui],
Ji, P.P.[Ping-Ping],
HSF-DETR: Hyper Scale Fusion Detection Transformer for
Multi-Perspective UAV Object Detection,
RS(17), No. 12, 2025, pp. 1997.
DOI Link
2506
BibRef
Liu, W.B.[Wen-Bin],
Shi, L.[Liangren],
An, G.[Guocheng],
An Efficient Aerial Image Detection with Variable Receptive Fields,
RS(17), No. 15, 2025, pp. 2672.
DOI Link
2508
BibRef
Zuo, Z.[Zhen],
Cheng, Z.J.[Zhang-Junjie],
Huang, S.Y.[Si-Yang],
Wei, J.Y.[Jun-Yu],
Wu, Z.Y.[Zhuo-Yuan],
CGAQ-DETR: DETR with Corner Guided and Adaptive Query for SAR Object
Detection,
RS(17), No. 18, 2025, pp. 3254.
DOI Link
2510
BibRef
Li, B.T.[Bo-Tao],
Yang, H.[Huguang],
Xia, C.L.[Cheng-Long],
Zheng, H.[Han],
Wulamu, A.[Aziguli],
Zhang, T.[Taohong],
Adaptive DETR: A framework with dynamic sampling points and
feature-guided adaptive attention updates,
CVIU(260), 2025, pp. 104481.
Elsevier DOI
2510
Dynamic sampling points, Feature-guided adaptive encoding, Deformable attention
BibRef
Huo, Y.[Yukang],
Yao, M.Y.[Ming-Yuan],
Wang, T.H.[Tong-Hao],
Tian, Q.B.[Qing-Bin],
Zhao, J.Y.[Jia-Yin],
Liu, X.[Xiao],
Wang, H.H.[Hai-Hua],
PR-DETR: Extracting and utilizing prior knowledge for improved
end-to-end object detection,
IVC(163), 2025, pp. 105745.
Elsevier DOI
2511
PR-DETR, AGSSI module, Query, Spatial semantic information
BibRef
Wang, H.[He],
Liu, M.H.[Ming-Hua],
Qu, L.[Lianen],
Li, D.[Danning],
Wang, S.[Shuang],
Fair-DETR: Detection transformer with adaptive multi-scale attention
and dual strong constraint-aware query selection,
IVC(164), 2025, pp. 105792.
Elsevier DOI
2512
DETR, Attention mechanism, Small object detection,
Training strategy, Multi-scale feature fusion
BibRef
Wang, J.[Jian],
Li, R.[Ruo],
Li, H.[Haisen],
Wang, J.[Jing],
Random Walk Detection of Small Targets Based on Information Entropy
and Intensity Local Contrast Method,
RS(17), No. 22, 2025, pp. 3724.
DOI Link
2512
BibRef
Lin, K.[Kaiye],
Zhao, Z.[Zhexiang],
Niu, N.[Na],
Locate then Calibrate: A Synergistic Framework for Small Object
Detection from Aerial Imagery to Ground-Level Views,
RS(17), No. 22, 2025, pp. 3750.
DOI Link
2512
BibRef
Xie, H.F.[Han-Fei],
Wang, M.[Min],
Cao, R.[Ran],
Wang, J.F.[Jia-Feng],
Jiang, Y.[Yun],
Huang, Q.[Qiang],
Jiang, L.J.[Ling-Jie],
MTD-YOLO: A Multi-Scale Perception Framework with Task Decoupling and
Dynamic Alignment for UAV Small Object Detection,
RS(17), No. 23, 2025, pp. 3823.
DOI Link
2512
BibRef
Hwang, S.[Seongmin],
Han, D.[Daeyoung],
Jeon, M.[Moongu],
DG-DETR: Toward domain generalized detection transformer,
PRL(199), 2026, pp. 128-134.
Elsevier DOI Code:
WWW Link.
2512
Object detection, Domain generalization, Detection transformer,
Query selection, Wavelet decomposition
BibRef
Zhang, J.C.[Jia-Cheng],
Li, J.M.[Jia-Ming],
Lin, X.R.[Xiang-Ru],
Zhang, W.[Wei],
Tan, X.[Xiao],
Gao, H.B.[Hong-Bo],
Wang, J.D.[Jing-Dong],
Li, G.B.[Guan-Bin],
Toward Efficient Semi-Supervised Object Detection With Detection
Transformer,
PAMI(48), No. 3, March 2026, pp. 3765-3782.
IEEE DOI
2602
Training, Object detection, Detectors, Decoding, Transformers,
Semisupervised learning, Proposals, Standards, Noise measurement,
semi-supervised learning
BibRef
Liu, C.[Chang],
Zhang, W.M.[Wei-Ming],
Lin, X.R.[Xiang-Ru],
Zhang, W.[Wei],
Tan, X.[Xiao],
Han, J.Y.[Jun-Yu],
Li, X.M.[Xiao-Mao],
Ding, E.[Errui],
Wang, J.D.[Jing-Dong],
Ambiguity-Resistant Semi-Supervised Learning for Dense Object
Detection,
CVPR23(15579-15588)
IEEE DOI
2309
BibRef
Zhang, J.C.[Jia-Cheng],
Li, J.M.[Jia-Ming],
Lin, X.R.[Xiang-Ru],
Zhang, W.[Wei],
Tan, X.[Xiao],
Han, J.Y.[Jun-Yu],
Ding, E.[Errui],
Wang, J.D.[Jing-Dong],
Li, G.B.[Guan-Bin],
Decoupled Pseudo-Labeling for Semi-Supervised Monocular 3D Object
Detection,
CVPR24(16923-16932)
IEEE DOI
2410
Object detection, Benchmark testing,
Noise measurement, Reliability
BibRef
Zhang, J.C.[Jia-Cheng],
Lin, X.R.[Xiang-Ru],
Zhang, W.[Wei],
Wang, K.[Kuo],
Tan, X.[Xiao],
Han, J.Y.[Jun-Yu],
Ding, E.[Errui],
Wang, J.D.[Jing-Dong],
Li, G.B.[Guan-Bin],
Semi-DETR: Semi-Supervised Object Detection with Detection
Transformers,
CVPR23(23809-23818)
IEEE DOI
2309
BibRef
Wu, C.S.[Chang-Shun],
He, W.C.[Wei-Cheng],
Cheng, C.H.[Chih-Hong],
Huang, X.W.[Xiao-Wei],
Bensalem, S.[Saddek],
Revisiting Out-of-Distribution Detection in Real-Time Object
Detection: From Benchmark Pitfalls to a New Mitigation Paradigm,
PAMI(48), No. 5, May 2026, pp. 5243-5260.
IEEE DOI
2604
Detectors, Benchmark testing, Training, Safety,
Prevention and mitigation, YOLO, Shape, Refining, Pipelines,
RT-DETR
BibRef
Mu, S.Y.[Shi-Yi],
Gu, Z.[Zichong],
Ai, Z.Q.[Zhi-Qi],
Liu, A.[Anqi],
Gao, Y.L.[Yi-Lin],
Xu, S.G.[Shu-Gong],
StereoDETR: Stereo-Based Transformer for 3D Object Detection,
CirSysVideo(36), No. 4, April 2026, pp. 4371-4383.
IEEE DOI Code:
WWW Link.
2604
Accuracy, Decoding, Object detection, Transformers,
Depth measurement, Visualization, Correlation, Location awareness,
autonomous driving
BibRef
Sun, Y.T.[Yu-Ting],
Yin, H.T.[Hai-Tao],
FA-DETR: Frequency-Aware DETR Based Object Detection for Uncrewed
Aerial Vehicle Images,
SPLetters(33), 2026, pp. 1616-1620.
IEEE DOI
2605
Filtering, Filters, High frequency, uncrewed aerial vehicle
BibRef
Lin, C.Y.[Chen-Yu],
Fu, Y.Z.[Yun-Zhan],
Xu, H.[Hang],
Teng, X.Y.[Xu-Yang],
Wang, T.Y.[Ting-Yu],
From Generic to Adaptive: Similarity-Adaptive Receptive-Field Cross
DETR for Remote-Sensing Object Detection,
RS(18), No. 10, 2026, pp. 1670.
DOI Link
2605
BibRef
Zhang, Z.B.[Zhi-Bin],
Peng, R.[Ruihui],
Sun, D.[Dianxing],
Tan, S.C.[Shun-Cheng],
Wei, Z.Z.[Zhao-Zheng],
Multi-Domain Interference-Suppressed DETR for SAR Object Detection,
RS(18), No. 13, 2026, pp. 2076.
DOI Link
2607
BibRef
Minh, N.Q.N.[Nguyen Quoc Nhat],
Dang, N.H.[Nguyen Hong],
Linh, N.V.[Ngo Van],
Sang, D.V.[Dinh Viet],
Nguyen, D.A.[Duc Anh],
AQS-IDETR: Adaptive Query Selection for Efficient Inference in
Real-Time Detection Transformers,
IVC(173), 2026, pp. 106097.
Elsevier DOI
2607
Object detection, Detection transformer,
Adaptive query selection, Inference only
BibRef
Li, F.Y.[Fang-Yu],
Niu, M.[Mohan],
Shan, C.F.[Cai-Feng],
Huang, Y.T.[Yan-Ting],
Han, H.G.[Hong-Gui],
Efficient Detection Transformer Based on Learnable Query Queuing and
Encoder Self-Distillation,
CirSysVideo(36), No. 7, July 2026, pp. 10319-10332.
IEEE DOI
2607
Computational modeling, Adaptation models, Transformers,
Feature extraction, Object detection, Training,
feature distillation
BibRef
Hou, X.Q.[Xiu-Quan],
Liu, M.Q.[Mei-Qin],
Du, S.Y.[Shao-Yi],
Fan, Z.[Zhen],
Relation DETR+: Exploring Explicit Position Relation Prior for Dense
Prediction,
PAMI(48), No. 10, October 2026, pp. 13733-13750.
IEEE DOI
2609
Modeling, Object detection, Decoding, Training,
Instance segmentation, Encoding, Detection transformer, relation network
BibRef
Hou, X.Q.[Xiu-Quan],
Liu, M.Q.[Mei-Qin],
Zhang, S.[Senlin],
Wei, P.[Ping],
Chen, B.D.[Ba-Dong],
Lan, X.G.[Xu-Guang],
Relation DETR: Exploring Explicit Position Relation Prior for Object
Detection,
ECCV24(L: 89-105).
Springer DOI
2412
BibRef
Wang, J.[Jing],
Li, H.J.[He-Jiang],
Huo, Z.Q.[Zhan-Qiang],
Feature Adaptive Learning DETR for small object detection in aerial
images,
CVIU(272), 2026, pp. 104925.
Elsevier DOI
2609
Dual Attention Gated Network,
Enhanced adaptive complementary fusion, Aerial images, Small object detection
BibRef
Ji, L.[Linxia],
Yan, L.[Li],
Xie, H.[Hong],
Wang, T.F.[Teng-Fei],
Zhu, L.Z.[Long-Ze],
Wu, H.[Hao],
Wang, D.[Duonan],
RDA-DETR: Rotation-aware decoupled oriented object detection in
aerial images with agent query,
PandRS(240), 2026, pp. 476-491.
Elsevier DOI Code:
WWW Link.
2609
Oriented object detection, End-to-end object detection,
Aerial images, Agent attention, Transformer, DETR
BibRef
Huang, S.H.[Shi-Hua],
Lu, Z.C.[Zhi-Chao],
Cun, X.D.[Xiao-Dong],
Yu, Y.J.[Yong-Jun],
Zhou, X.[Xiao],
Shen, X.[Xi],
DEIM: DETR with Improved Matching for Fast Convergence,
CVPR25(15162-15171)
IEEE DOI Code:
WWW Link.
2508
Training, Graphics processing units, Object detection, Detectors,
Gain measurement, Transformers, Real-time systems, Standards, MAL
BibRef
Zhang, C.B.[Chang-Bin],
Zhong, Y.J.[Yu-Jie],
Han, K.[Kai],
Mr. DETR: Instructive Multi-Route Training for Detection Transformers,
CVPR25(9933-9943)
IEEE DOI Code:
WWW Link.
2508
Training, Costs, Computational modeling, Predictive models,
Transformers, Multitasking, Decoding, object detection,
instructive training
BibRef
Nan, Z.X.[Zhi-Xiong],
Li, X.H.[Xiang-Hong],
Dai, J.F.[Ji-Feng],
Xiang, T.[Tao],
MI-DETR: An Object Detection Model with Multi-time Inquiries
Mechanism,
CVPR25(4703-4712)
IEEE DOI
2508
Training, Head, Computational modeling, Object detection,
Feature extraction, Decoding, Plugs, object detection, detr
BibRef
Wang, S.[Shuo],
Xia, C.[Chunlong],
Lv, F.[Feng],
Shi, Y.F.[Yi-Feng],
RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical
Dense Positive Supervision,
WACV25(1628-1636)
IEEE DOI Code:
WWW Link.
2505
YOLO, Training, Codes, Perturbation methods, Detectors, Transformers,
Real-time systems, Decoding, Convergence
BibRef
Nachkov, A.[Asen],
Paudel, D.P.[Danda Pani],
Danelljan, M.[Martin],
Van Gool, L.J.[Luc J.],
Diffusion-Based Particle-DETR for BEV Perception,
WACV25(2725-2735)
IEEE DOI Code:
WWW Link.
2505
Training, Interpolation, Uncertainty, Source coding, Detectors,
Object detection, Transformers, Safety, Visual perception
BibRef
Huang, Z.Y.[Zi-Yue],
Feng, Y.C.[Yong-Chao],
Liu, Q.J.[Qing-Jie],
Wang, Y.H.[Yun-Hong],
Mutdet: Mutually Optimizing Pre-Training for Remote Sensing Object
Detection,
ECCV24(XII: 1-17).
Springer DOI
2412
Code:
WWW Link.
BibRef
Du, P.H.[Peng-Hui],
Wang, Y.[Yu],
Sun, Y.F.[Yi-Fan],
Wang, L.T.[Lu-Ting],
Liao, Y.[Yue],
Zhang, G.[Gang],
Ding, E.[Errui],
Wang, Y.[Yan],
Wang, J.D.[Jing-Dong],
Liu, S.[Si],
LAMI-DETR: Open-vocabulary Detection with Language Model Instruction,
ECCV24(XXIII: 312-328).
Springer DOI
2412
BibRef
Dong, J.P.[Jin-Peng],
Lin, Y.T.[Yu-Tong],
Li, C.[Chen],
Zhou, S.P.[San-Ping],
Zheng, N.N.[Nan-Ning],
AugDETR: Improving Multi-scale Learning for Detection Transformer,
ECCV24(XXIV: 238-255).
Springer DOI
2412
BibRef
Casas, S.[Sergio],
Agro, B.[Ben],
Mao, J.[Jiageng],
Gilles, T.[Thomas],
Cui, A.[Alexander],
Li, T.[Thomas],
Urtasun, R.[Raquel],
DETRA: A Unified Model for Object Detection and Trajectory Forecasting,
ECCV24(LXXXVIII: 326-342).
Springer DOI
2412
BibRef
Yu, N.[Ning],
Chen, C.C.[Chia-Chih],
Chen, Z.Y.[Ze-Yuan],
Meng, R.[Rui],
Wu, G.[Gang],
Josel, P.[Paul],
Niebles, J.C.[Juan Carlos],
Xiong, C.M.[Cai-Ming],
Xu, R.[Ran],
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer,
ECCV24(XX: 169-187).
Springer DOI
2412
BibRef
Liu, Z.[Zhe],
Hou, J.H.[Jing-Hua],
Ye, X.Q.[Xiao-Qing],
Wang, T.[Tong],
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Seed: A Simple and Effective 3d DETR in Point Clouds,
ECCV24(XI: 110-126).
Springer DOI
2412
BibRef
Senthivel, T.[Tharsan],
Vu, N.S.[Ngoc-Son],
QR-DETR: Query Routing for Detection Transformer,
ACCV24(VI: 395-412).
Springer DOI
2412
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Zhu, Y.H.[Yu-Han],
Zhang, G.Z.[Guo-Zhen],
Tan, J.[Jing],
Wu, G.S.[Gang-Shan],
Wang, L.M.[Li-Min],
Dual DETRs for Multi-Label Temporal Action Detection,
CVPR24(18559-18569)
IEEE DOI
2410
Location awareness, Semantics, Object detection, Benchmark testing,
Decoding
BibRef
Zhao, J.J.[Jin-Jing],
Wei, F.Y.[Fang-Yun],
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Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN
Perspective,
CVPR24(17416-17426)
IEEE DOI Code:
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2410
Training, Schedules, Detectors, Transforms, Object detection,
Benchmark testing, Transformers, Categorization, Detection, Retrieval
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Gao, Y.[Yulu],
Sun, Y.F.[Yi-Fan],
Ding, X.D.[Xu-Dong],
Zhao, C.[Chuyang],
Liu, S.[Si],
EASE-DETR: Easing the Competition among Object Queries,
CVPR24(17282-17291)
IEEE DOI
2410
Computational modeling, Decoding
BibRef
Zhao, C.[Chuyang],
Sun, Y.F.[Yi-Fan],
Wang, W.H.[Wen-Hao],
Chen, Q.[Qiang],
Ding, E.[Errui],
Yang, Y.[Yi],
Wang, J.D.[Jing-Dong],
MS-DETR: Efficient DETR Training with Mixed Supervision,
CVPR24(17027-17036)
IEEE DOI Code:
WWW Link.
2410
Training, Codes, Object detection,
Feature extraction, Decoding, object detection, detr, detection transformer
BibRef
Zhao, Y.F.[Yi-Fan],
Lv, W.Y.[Wen-Yu],
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Wei, J.M.[Jin-Man],
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Dang, Q.Q.[Qing-Qing],
Liu, Y.[Yi],
Chen, J.[Jie],
DETRs Beat YOLOs on Real-time Object Detection,
CVPR24(16965-16974)
IEEE DOI Code:
WWW Link.
2410
YOLO, Accuracy, Graphics processing units, Detectors, Transformers,
Real-time systems, Real-time Object Detection, YOLO, DETR
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Wang, Y.[Yu],
Li, X.[Xin],
Weng, S.Z.[Sheng-Zhao],
Zhang, G.[Gang],
Yue, H.X.[Hai-Xiao],
Feng, H.C.[Hao-Cheng],
Han, J.Y.[Jun-Yu],
Ding, E.[Errui],
KD-DETR: Knowledge Distillation for Detection Transformer with
Consistent Distillation Points Sampling,
CVPR24(16016-16025)
IEEE DOI
2410
Deformable models, Computational modeling, Detectors,
Reliability theory, Transformers,
Detection Transformer
BibRef
Shehzadi, T.[Tahira],
Hashmi, K.A.[Khurram Azeem],
Stricker, D.[Didier],
Afzal, M.Z.[Muhammad Zeshan],
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object
Detection,
CVPR24(5840-5850)
IEEE DOI
2410
Training, Visualization, Filters, Accuracy, Focusing, Object detection,
Transformers, Object detection, semi-supervised, DETR
BibRef
Ali, A.[Ammar],
Gaikov, G.[Georgii],
Rybalchenko, D.[Denis],
Chigorin, A.[Alexander],
Laptev, I.[Ivan],
Zagoruyko, S.[Sergey],
PairDETR: Joint Detection and Association of Human Bodies and Faces,
CVPR24(423-432)
IEEE DOI Code:
WWW Link.
2410
Training, Deformable models, NP-hard problem, Object detection,
Detectors, Predictive models, Object detection, Association,
DETR
BibRef
Hou, X.[Xiuquan],
Liu, M.[Meiqin],
Zhang, S.[Senlin],
Wei, P.[Ping],
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Salience DETR: Enhancing Detection Transformer with Hierarchical
Salience Filtering Refinement,
CVPR24(17574-17583)
IEEE DOI Code:
WWW Link.
2410
Filtering, Redundancy, Semantics, Object detection, Detectors,
Transformers, Object detection, Detection transformer,
Query refinement
BibRef
Suh, Y.M.[Yu-Min],
Kim, D.[Dongwan],
Aich, A.[Abhishek],
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Jong-Chyi-Su,
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Chandraker, M.[Manmohan],
Improving the Efficiency-Accuracy Trade-off of DETR-Style Models in
Practice,
ECV24(8027-8031)
IEEE DOI
2410
Accuracy, object detection, efficiency
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Liu, S.L.[Shi-Long],
Ren, T.[Tianhe],
Chen, J.Y.[Jia-Yu],
Zeng, Z.Y.[Zhao-Yang],
Zhang, H.[Hao],
Li, F.[Feng],
Li, H.Y.[Hong-Yang],
Huang, J.[Jun],
Su, H.[Hang],
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Zhang, L.[Lei],
Detection Transformer with Stable Matching,
ICCV23(6468-6477)
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2401
BibRef
He, L.Q.[Li-Qiang],
Wang, W.[Wei],
Chen, A.[Albert],
Sun, M.[Min],
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Bidirectional Alignment for Domain Adaptive Detection with
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ICCV23(18729-18739)
IEEE DOI Code:
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2401
BibRef
Liu, F.[Feng],
Zhang, X.S.[Xiao-Song],
Peng, Z.L.[Zhi-Liang],
Guo, Z.H.[Zong-Hao],
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Ji, X.Y.[Xiang-Yang],
Ye, Q.X.[Qi-Xiang],
Integrally Migrating Pre-trained Transformer Encoder-decoders for
Visual Object Detection,
ICCV23(6802-6811)
IEEE DOI Code:
WWW Link.
2401
BibRef
Li, L.Q.[Liang-Qi],
Miao, J.X.[Jia-Xu],
Shi, D.[Dahu],
Tan, W.M.[Wen-Ming],
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Yang, Y.[Yi],
Pu, S.L.[Shi-Liang],
Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary
Object Detection,
ICCV23(6478-6487)
IEEE DOI Code:
WWW Link.
2401
BibRef
Lin, Y.T.[Yu-Tong],
Yuan, Y.H.[Yu-Hui],
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Li, C.[Chen],
Zheng, N.N.[Nan-Ning],
Hu, H.[Han],
DETR Does Not Need Multi-Scale or Locality Design,
ICCV23(6522-6531)
IEEE DOI Code:
WWW Link.
2401
BibRef
Chen, Q.[Qiang],
Chen, X.K.[Xiao-Kang],
Wang, J.[Jian],
Zhang, S.[Shan],
Yao, K.[Kun],
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Han, J.Y.[Jun-Yu],
Ding, E.[Errui],
Zeng, G.[Gang],
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Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment,
ICCV23(6610-6619)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zheng, D.H.[De-Hua],
Dong, W.H.[Wen-Hui],
Hu, H.L.[Hai-Lin],
Chen, X.H.[Xing-Hao],
Wang, Y.H.[Yun-He],
Less is More: Focus Attention for Efficient DETR,
ICCV23(6651-6660)
IEEE DOI
2401
BibRef
Ye, M.Q.[Ming-Qiao],
Ke, L.[Lei],
Li, S.Y.[Si-Yuan],
Tai, Y.W.[Yu-Wing],
Tang, C.K.[Chi-Keung],
Danelljan, M.[Martin],
Yu, F.[Fisher],
Cascade-DETR: Delving into High-Quality Universal Object Detection,
ICCV23(6681-6691)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zong, Z.F.[Zhuo-Fan],
Song, G.L.[Guang-Lu],
Liu, Y.[Yu],
DETRs with Collaborative Hybrid Assignments Training,
ICCV23(6725-6735)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhang, L.[Lu],
Zhang, C.[Chenbo],
Zhao, J.J.[Jia-Jia],
Guan, J.H.[Ji-Hong],
Zhou, S.[Shuigeng],
Meta-ZSDETR: Zero-Shot DETR with Meta-Learning,
ICCV23(6822-6831)
IEEE DOI
2401
BibRef
Chang, J.H.[Jia-Hao],
Wang, S.[Shuo],
Xu, H.M.[Hai-Ming],
Chen, Z.[Zehui],
Yang, C.[Chenhongyi],
Zhao, F.[Feng],
DETRDistill: A Universal Knowledge Distillation Framework for
DETR-families,
ICCV23(6875-6885)
IEEE DOI
2401
BibRef
Kim, J.[Jihwan],
Lee, M.[Miso],
Heo, J.P.[Jae-Pil],
Self-Feedback DETR for Temporal Action Detection,
ICCV23(10252-10262)
IEEE DOI
2401
BibRef
Bulat, A.[Adrian],
Guerrero, R.[Ricardo],
Martinez, B.[Brais],
Tzimiropoulos, G.[Georgios],
FS-DETR: Few-Shot DEtection TRansformer with prompting and without
re-training,
ICCV23(11759-11768)
IEEE DOI
2401
BibRef
Senthivel, T.[Tharsan],
Vu, N.S.[Ngoc-Son],
Subgroups for Detection Transformer,
ICIP24(2194-2200)
IEEE DOI
2411
Deformable models, Accuracy, Redundancy, Object detection, Transformers
BibRef
Senthivel, T.[Tharsan],
Vu, N.S.[Ngoc-Son],
Borzic, B.[Boris],
Detection Transformer with Diversified Object Queries,
ICIP23(2515-2519)
IEEE DOI
2312
BibRef
Qiu, T.[Tian],
Zhou, L.Y.[Lin-Yun],
Xu, W.X.[Wen-Xiang],
Cheng, L.C.[Le-Chao],
Feng, Z.[Zunlei],
Song, M.L.[Ming-Li],
Team DETR: Guide Queries as a Professional Team in Detection
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ICIP23(450-454)
IEEE DOI Code:
WWW Link.
2312
BibRef
Zhang, J.Y.[Jing-Yi],
Huang, J.X.[Jia-Xing],
Luo, Z.P.[Zhi-Peng],
Zhang, G.J.[Gong-Jie],
Zhang, X.Q.[Xiao-Qin],
Lu, S.J.[Shi-Jian],
DA-DETR: Domain Adaptive Detection Transformer with Information
Fusion,
CVPR23(23787-23798)
IEEE DOI
2309
BibRef
Tang, Z.H.[Zong-Heng],
Sun, Y.F.[Yi-Fan],
Liu, S.[Si],
Yang, Y.[Yi],
DETR with Additional Global Aggregation for Cross-domain Weakly
Supervised Object Detection,
CVPR23(11422-11432)
IEEE DOI
2309
BibRef
Liu, Y.[Yang],
Zhang, Y.[Yao],
Wang, Y.X.[Yi-Xin],
Zhang, Y.[Yang],
Tian, J.[Jiang],
Shi, Z.C.[Zhong-Chao],
Fan, J.P.[Jian-Ping],
He, Z.Q.[Zhi-Qiang],
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based
Transformer Detector for Fast Model Convergency,
CVPR23(15539-15547)
IEEE DOI
2309
BibRef
Chen, Z.[Zeren],
Huang, G.[Gengshi],
Li, W.[Wei],
Teng, J.N.[Jia-Ning],
Wang, K.[Kun],
Shao, J.[Jing],
Loy, C.C.[Chen Change],
Sheng, L.[Lu],
Siamese DETR,
CVPR23(15722-15731)
IEEE DOI
2309
BibRef
Li, F.[Feng],
Zeng, A.L.[Ai-Ling],
Liu, S.L.[Shi-Long],
Zhang, H.[Hao],
Li, H.Y.[Hong-Yang],
Zhang, L.[Lei],
Ni, L.M.[Lionel M.],
Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR,
CVPR23(18558-18567)
IEEE DOI
2309
BibRef
Jia, D.[Ding],
Yuan, Y.H.[Yu-Hui],
He, H.[Haodi],
Wu, X.P.[Xiao-Pei],
Yu, H.[Haojun],
Lin, W.H.[Wei-Hong],
Sun, L.[Lei],
Zhang, C.[Chao],
Hu, H.[Han],
DETRs with Hybrid Matching,
CVPR23(19702-19712)
IEEE DOI
2309
BibRef
Chu, S.Y.[Shih-Yun],
Lee, M.S.[Ming-Sui],
MT-DETR: Robust End-to-end Multimodal Detection with Confidence
Fusion,
WACV23(5241-5250)
IEEE DOI
2302
Meteorological radar, Laser radar, Scalability, Training data,
Object detection, Sensor phenomena and characterization,
Vision + language and/or other modalities
BibRef
Xu, S.[Sheng],
Li, Y.J.[Yan-Jing],
Lin, M.B.[Ming-Bao],
Gao, P.[Peng],
Guo, G.D.[Guo-Dong],
Lü, J.H.[Jin-Hu],
Zhang, B.C.[Bao-Chang],
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer,
CVPR23(3842-3851)
IEEE DOI
2309
WWW Link.
BibRef
Li, J.M.[Jia-Ming],
Lin, X.R.[Xiang-Ru],
Zhang, W.[Wei],
Tan, X.[Xiao],
Li, Y.Y.[Ying-Ying],
Han, J.Y.[Jun-Yu],
Ding, E.[Errui],
Wang, J.D.[Jing-Dong],
Li, G.B.[Guan-Bin],
Gradient-based Sampling for Class Imbalanced Semi-supervised Object
Detection,
ICCV23(16344-16354)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhang, G.J.[Gong-Jie],
Luo, Z.P.[Zhi-Peng],
Yu, Y.C.[Ying-Chen],
Cui, K.W.[Kai-Wen],
Lu, S.J.[Shi-Jian],
Accelerating DETR Convergence via Semantic-Aligned Matching,
CVPR22(939-948)
IEEE DOI
2210
Code, Detection Transformer.
WWW Link. Training, Costs, Semantics, Object detection, Transformers,
Feature extraction, Recognition: detection, categorization,
Motion and tracking
BibRef
Wang, H.L.[Hong-Lie],
Xu, J.[Jian],
Sun, S.Q.[Shou-Qian],
Distilling DETR-Like Detectors with Instance-Aware Feature,
ICIP22(1186-1190)
IEEE DOI
2211
Training, Head, Fuses, Detectors, Object detection, Transformers,
Feature extraction, Object Detection, Knowledge Distillation,
Attention Mechanism
BibRef
Gupta, A.[Akshita],
Narayan, S.[Sanath],
Joseph, K.J.[K J],
Khan, S.[Salman],
Khan, F.S.[Fahad Shahbaz],
Shah, M.[Mubarak],
OW-DETR: Open-world Detection Transformer,
CVPR22(9225-9234)
IEEE DOI
2210
Training, Object detection, Transformers,
Proposals, Object recognition, retrieval, categorization,
Recognition: detection
BibRef
Lou, Q.[Qian],
Hsu, Y.C.[Yen-Chang],
Uzkent, B.[Burak],
Hua, T.[Ting],
Shen, Y.L.[Yi-Lin],
Jin, H.X.[Hong-Xia],
Lite-MDETR: A Lightweight Multi-Modal Detector,
CVPR22(12196-12205)
IEEE DOI
2210
nTraining, Performance evaluation, Visualization, Dictionaries,
Grounding, Detectors, Transformers,
BibRef
La Bonte, T.[Tyler],
Song, Y.[Yale],
Wang, X.[Xin],
Vineet, V.[Vibhav],
Joshi, N.[Neel],
Scaling Novel Object Detection with Weakly Supervised Detection
Transformers,
WACV23(85-96)
IEEE DOI
2302
Training, Costs, Surveillance, Object detection, Detectors,
Transformers, Data models, and un-supervised learning)
BibRef
Bar, A.[Amir],
Wang, X.[Xin],
Kantorov, V.[Vadim],
Reed, C.J.[Colorado J.],
Herzig, R.[Roei],
Chechik, G.[Gal],
Rohrbach, A.[Anna],
Darrell, T.J.[Trevor J.],
Globerson, A.[Amir],
DETReg: Unsupervised Pretraining with Region Priors for Object
Detection,
CVPR22(14585-14595)
IEEE DOI
2210
Location awareness, Training, Object detection, Detectors,
Transformers, Generators, Representation learning
BibRef
Wang, P.[Pei],
Cai, Z.W.[Zhao-Wei],
Yang, H.[Hao],
Swaminathan, G.[Gurumurthy],
Vasconcelos, N.M.[Nuno M.],
Schiele, B.[Bernt],
Soatto, S.[Stefano],
Omni-DETR: Omni-Supervised Object Detection with Transformers,
CVPR22(9357-9366)
IEEE DOI
2210
Costs, Codes, Annotations, Filtering, Object detection,
Recognition: detection, categorization, retrieval
BibRef
Zang, Y.H.[Yu-Hang],
Li, W.[Wei],
Zhou, K.Y.[Kai-Yang],
Huang, C.[Chen],
Loy, C.C.[Chen Change],
Open-Vocabulary DETR with Conditional Matching,
ECCV22(IX:106-122).
Springer DOI
2211
BibRef
Cai, Z.W.[Zhao-Wei],
Kwon, G.[Gukyeong],
Ravichandran, A.[Avinash],
Bas, E.[Erhan],
Tu, Z.W.[Zhuo-Wen],
Bhotika, R.[Rahul],
Soatto, S.[Stefano],
X-DETR: A Versatile Architecture for Instance-wise Vision-Language
Tasks,
ECCV22(XXXVI:290-308).
Springer DOI
2211
BibRef
Kamath, A.[Aishwarya],
Singh, M.[Mannat],
Le Cun, Y.L.[Yann L.],
Synnaeve, G.[Gabriel],
Misra, I.[Ishan],
Carion, N.[Nicolas],
MDETR: Modulated Detection for End-to-End Multi-Modal Understanding,
ICCV21(1760-1770)
IEEE DOI
2203
Visualization, Vocabulary, Image segmentation, Grounding, Detectors,
Vision + language,
Visual reasoning and logical representation
BibRef
Liu, F.F.[Fan-Fan],
Wei, H.R.[Hao-Ran],
Zhao, W.Z.[Wen-Zhe],
Li, G.Z.[Guo-Zhen],
Peng, J.Q.[Jing-Quan],
Li, Z.[Zihao],
WB-DETR: Transformer-Based Detector without Backbone,
ICCV21(2959-2967)
IEEE DOI
2203
Pipelines, Detectors, Object detection, Transformers,
Feature extraction, Decoding,
BibRef
Wang, T.[Tao],
Yuan, L.[Li],
Chen, Y.P.[Yun-Peng],
Feng, J.S.[Jia-Shi],
Yan, S.C.[Shui-Cheng],
PnP-DETR: Towards Efficient Visual Analysis with Transformers,
ICCV21(4641-4650)
IEEE DOI
2203
Adaptation models, Visualization, Image segmentation,
Image recognition, Computational modeling, Redundancy,
Detection and localization in 2D and 3D
BibRef
Sun, Z.Q.[Zhi-Qing],
Cao, S.C.[Sheng-Cao],
Yang, Y.M.[Yi-Ming],
Kitani, K.[Kris],
Rethinking Transformer-based Set Prediction for Object Detection,
ICCV21(3591-3600)
IEEE DOI
2203
Training, Codes, Computational modeling, Object detection,
Transformers, Optimization,
BibRef
Dai, X.Y.[Xi-Yang],
Chen, Y.P.[Yin-Peng],
Yang, J.W.[Jian-Wei],
Zhang, P.C.[Peng-Chuan],
Yuan, L.[Lu],
Zhang, L.[Lei],
Dynamic DETR: End-to-End Object Detection with Dynamic Attention,
ICCV21(2968-2977)
IEEE DOI
2203
Training, Visualization, Object detection, Color, Transformers,
Feature extraction, Encoding,
Vision applications and systems
BibRef
Meng, D.[Depu],
Chen, X.K.[Xiao-Kang],
Fan, Z.[Zejia],
Zeng, G.[Gang],
Li, H.Q.[Hou-Qiang],
Yuan, Y.H.[Yu-Hui],
Sun, L.[Lei],
Wang, J.D.[Jing-Dong],
Conditional DETR for Fast Training Convergence,
ICCV21(3631-3640)
IEEE DOI
2203
WWW Link. Encoder-decoder object detection.
Training, Codes, Pose estimation, Object detection, Transformers,
Decoding, Detection and localization in 2D and 3D,
Recognition and classification
BibRef
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Object Detection Using Transformers .