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We present in this paper a novel denoising training method to speedup DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like methods.
Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Deep residual learning for image recognition
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Faster R-CNN: Towards real-time object detection with region proposal networks
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Attention is all you need
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Earlier work this paper cites.
Focal Loss for Dense Object Detection, 2018
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2018
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YOLOv3: An Incremental Improvement, 2018
Joseph Redmon and Ali Farhadi · 2018
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Hybrid task cascade for instance segmentation
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, et al · 2019
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End-to-end object detection with transformers
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Rethinking transformer-based set prediction for object detection
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Deformable DETR: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
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Pix2seq: A language modeling framework for object detection, 2021
Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, and Geoffrey Hinton · 2021
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Dynamic DETR: End-to-End Object Detection With Dynamic Attention
Xiyang Dai, Yinpeng Chen, Jianwei Yang, Pengchuan Zhang, Lu Yuan, and Lei Zhang · 2021
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The Stable Marriage Problem: An interdisciplinary review from the physicist’s perspective
Enrico Maria Fenoaltea, Izat B Baybusinov, Jianyang Zhao, Lei Zhou, and Yi-Cheng Zhang · 2021
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Efficient DETR: Improving End-to-End Object Detector with Dense Prior
Zhuyu Yao, Jiangbo Ai, Boxun Li, and Chi Zhang · 2021
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Group DETR: Fast Training Convergence with Decoupled One-to-Many Label Assignment
Qiang Chen, Xiaokang Chen, Gang Zeng, and Jingdong Wang · 2022
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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DN-DETR: Accelerate DETR training by introducing query denoising
Feng Li, Hao Zhang, Shilong Liu, Jian Guo, Lionel M Ni, and Lei Zhang · 2022
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Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation, 2022
Feng Li, Hao Zhang, Huaizhe xu, Shilong Liu, Lei Zhang, Lionel M. Ni, and Heung-Yeung Shum · 2022
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Fast convergence of DETR with spatially modulated co-attention
Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, and Hongsheng Li · 2021
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Conditional DETR for Fast Training Convergence
Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun, and Jingdong Wang · 2021
Cited alongside, same era.
Anchor DETR: Query design for transformer-based detector
Yingming Wang, Xiangyu Zhang, Tong Yang, and Jian Sun · 2021
Cited alongside, same era.
DAB-DETR: Dynamic anchor boxes are better queries for DETR
Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, and Lei Zhang · 2022
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Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion
Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Jiaxing Huang, Kaiwen Cui, Shijian Lu, and Eric P Xing · 2022
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DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection, 2022
Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M. Ni, and Heung-Yeung Shum · 2022
Closest in time.