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
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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],
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CirSysVideo(33), No. 5, May 2023, pp. 2342-2356.
IEEE DOI
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Proposals, Transformers, Feature extraction, Object detection,
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feature refinement
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Dai, Z.G.[Zhi-Gang],
Cai, B.[Bolun],
Lin, Y.G.[Yu-Geng],
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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
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Zhang, G.J.[Gong-Jie],
Luo, Z.P.[Zhi-Peng],
Huang, J.X.[Jia-Xing],
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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
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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.
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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:
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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.[Zilin],
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
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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
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RS(16), No. 23, 2024, pp. 4420.
DOI Link
2501
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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
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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
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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.[Qingsen],
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.
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Mao, Y.[Yi],
Zhang, H.[Haowei],
Li, R.[Rui],
Zhu, F.[Feng],
Sun, R.[Rui],
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HSF-DETR: Hyper Scale Fusion Detection Transformer for
Multi-Perspective UAV Object Detection,
RS(17), No. 12, 2025, pp. 1997.
DOI Link
2506
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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
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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
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.[Xianghong],
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
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Springer DOI
2412
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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
Hou, X.[Xiuquan],
Liu, M.[Meiqin],
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
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],
Wang, J.D.[Jing-Dong],
Bai, X.[Xiang],
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
BibRef
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.[Jinjing],
Wei, F.[Fangyun],
Xu, C.[Chang],
Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN
Perspective,
CVPR24(17416-17426)
IEEE DOI Code:
WWW Link.
2410
Training, Schedules, Detectors, Transforms, Object detection,
Benchmark testing, Transformers, Categorization, Detection, Retrieval
BibRef
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],
Xu, S.L.[Shang-Liang],
Wei, J.M.[Jin-Man],
Wang, G.Z.[Guan-Zhong],
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
BibRef
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],
Chen, B.D.[Ba-Dong],
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],
Schulter, S.[Samuel],
Jong-Chyi-Su,
Han, B.H.[Bo-Hyung],
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
BibRef
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],
Zhu, J.[Jun],
Zhang, L.[Lei],
Detection Transformer with Stable Matching,
ICCV23(6468-6477)
IEEE DOI Code:
WWW Link.
2401
BibRef
He, L.Q.[Li-Qiang],
Wang, W.[Wei],
Chen, A.[Albert],
Sun, M.[Min],
Kuo, C.H.[Cheng-Hao],
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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],
Wan, F.[Fang],
Ji, X.Y.[Xiang-Yang],
Ye, Q.X.[Qi-Xiang],
Integrally Migrating Pre-trained Transformer Encoder-decoders for
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ICCV23(6802-6811)
IEEE DOI Code:
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2401
BibRef
Li, L.Q.[Liang-Qi],
Miao, J.X.[Jia-Xu],
Shi, D.[Dahu],
Tan, W.M.[Wen-Ming],
Ren, Y.[Ye],
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:
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2401
BibRef
Lin, Y.T.[Yu-Tong],
Yuan, Y.H.[Yu-Hui],
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Zheng, N.N.[Nan-Ning],
Hu, H.[Han],
DETR Does Not Need Multi-Scale or Locality Design,
ICCV23(6522-6531)
IEEE DOI Code:
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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:
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2401
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Zheng, D.H.[De-Hua],
Dong, W.H.[Wen-Hui],
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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],
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ICCV23(6681-6691)
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2401
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CVPR22(9225-9234)
IEEE DOI
2210
Training, Object detection, Transformers,
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2210
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Location awareness, Training, Object detection, Detectors,
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CVPR22(9357-9366)
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Costs, Codes, Annotations, Filtering, Object detection,
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ICCV21(1760-1770)
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2203
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Visual reasoning and logical representation
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WB-DETR: Transformer-Based Detector without Backbone,
ICCV21(2959-2967)
IEEE DOI
2203
Pipelines, Detectors, Object detection, Transformers,
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ICCV21(4641-4650)
IEEE DOI
2203
Adaptation models, Visualization, Image segmentation,
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ICCV21(3591-3600)
IEEE DOI
2203
Training, Codes, Computational modeling, Object detection,
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Dynamic DETR: End-to-End Object Detection with Dynamic Attention,
ICCV21(2968-2977)
IEEE DOI
2203
Training, Visualization, Object detection, Color, Transformers,
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Vision applications and systems
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ICCV21(3631-3640)
IEEE DOI
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WWW Link. Encoder-decoder object detection.
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Object Detection Using Transformers .