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This paper is concerned with the matching stability problem across different decoder layers in DEtection TRansformers (DETR).
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Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection
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What makes for end-to-end object detection?
Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, and Ping Luo · 2020
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Dynamic head: Unifying object detection heads with attentions
Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, and Lei Zhang · 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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Up-detr: Unsupervised pre-training for object detection with transformers
Zhigang Dai, Bolun Cai, Yugeng Lin, and Junying Chen · 2021
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Tood: Task-aligned one-stage object detection
Chengjian Feng, Yujie Zhong, Yu Gao, Matthew R. Scott, and Weilin Huang · 2021
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Fast convergence of detr with spatially modulated co-attention
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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 · 2021
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Cf-detr: Coarse-to-fine transformers for end-to-end object detection
Xipeng Cao, Peng Yuan, Bailan Feng, Kun Niu, and Yao Zhao · 2022
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Group detr: Fast detr training with group-wise one-to-many assignment
Qiang Chen, Xiaokang Chen, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Gang Zeng, and Jingdong Wang · 2022
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Mask2former for video instance segmentation
Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, and Alexander G. Schwing · 2022
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detrex: An research platform for transformer-based object detection algorithms
detrex contributors · 2022
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Adamixer: A fast-converging query-based object detector
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Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun · 2021
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Mdetr-modulated detection for end-to-end multi-modal understanding
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Grounded language-image pre-training
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, et al · 2021
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Swin transformer v2: Scaling up capacity and resolution
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 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
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Boxer: Box-attention for 2d and 3d transformers
Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, and Cees G. M. Snoek · 2021
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Ziteng Gao, Limin Wang, Bing Han, and Sheng Guo · 2022
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Detrs with hybrid matching
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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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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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Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, and Philipp Krähenbühl · 2022
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Florence: A new foundation model for computer vision
Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, and Pengchuan Zhang · 2022
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Accelerating DETR convergence via semantic-aligned matching
Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Kaiwen Cui, and Shijian Lu · 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
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Detrs with collaborative hybrid assignments training, 2022
Zhuofan Zong, Guanglu Song, and Yu Liu · 2022
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Boxer: Box-attention for 2d and 3d transformers
Duy-Kien Nguyen, Jihong Ju, Olaf Booji, Martin R. Oswald, and Cees G. M. Snoek · 2023
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