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This paper presents a novel object detector called DEYOv2, an improved version of the first-generation DEYO (DETR with YOLO) model.
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2013
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Fast r-cnn
Ross B. Girshick · 2015
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Deep residual learning for image recognition
Kaiming He, X. Zhang, Shaoqing Ren, and Jian Sun · 2015
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Ssd: Single shot multibox detector
W. Liu, Dragomir Anguelov, D. Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, and Alexander C. Berg · 2015
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, and Ali Farhadi · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun · 2015
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie · 2016
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Yolo9000: Better, faster, stronger
Joseph Redmon and Ali Farhadi · 2016
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Soft-nms — improving object detection with one line of code
Navaneeth Bodla, Bharat Singh, Rama Chellappa, and Larry S. Davis · 2017
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Relation networks for object detection
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, and Yichen Wei · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Softer-nms: Rethinking bounding box regression for accurate object detection
Yihui He, Xiangyu Zhang, Marios Savvides, and Kris Kitani · 2018
Cited alongside, same era.
Path aggregation network for instance segmentation
Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, and Jiaya Jia · 2018
Cited alongside, same era.
Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
Cited alongside, same era.
Adaptive nms: Refining pedestrian detection in a crowd
Songtao Liu, Di Huang, and Yunhong Wang · 2019
Cited alongside, same era.
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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Adamixer: A fast-converging query-based object detector
Ziteng Gao, Limin Wang, Bing Han, and Sheng Guo · 2022
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Yolov5 release v6.2. https://github.com/ ultralytics/yolov5/releases/tag/v6.2, 2022
Jocher Glenn · 2022
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Ding Jia, Yuhui Yuan, Hao He, Xiao pei Wu, Haojun Yu, Weihong Lin, Lei huan Sun, Chao Zhang, and Hanhua Hu · 2022
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Shuai Shao, Zeming Li, Tianyuan Zhang, Chao Peng, Gang Yu, Xiangyu Zhang, Jing Li, and Jian Sun · 2019
Cited alongside, same era.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
Rethinking transformer-based set prediction for object detection
Zhiqing Sun, Shengcao Cao, Yiming Yang, and Kris Kitani · 2020
Cited alongside, same era.
Dynamic detr: End-to-end object detection with dynamic attention
Xiyang Dai, Yinpeng Chen, Jianwei Yang, Pengchuan Zhang, Lu Yuan, and Lei Zhang · 2021
Cited alongside, same era.
Fast convergence of detr with spatially modulated co-attention
Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, and Hongsheng Li · 2021
Cited alongside, same era.
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
Cited alongside, same era.
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.
Later among the works it cites.
Dn-detr: Accelerate detr training by introducing query denoising
Feng Li, Hao Zhang, Shi guang Liu, Jian Guo, Lionel Ming shuan Ni, and Lei Zhang · 2022
Later among the works it cites.
Deyo: Detr with yolo for step-by-step object detection
Hao Ouyang · 2022
Later among the works it cites.
Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, and Philipp Krahenbuhl · 2022
Later among the works it cites.
Anchor detr: Query design for transformer-based detector
Yingming Wang, X. Zhang, Tong Yang, and Jian Sun · 2022
Later among the works it cites.
Dino: Detr with improved denoising anchor boxes for end-to-end object detection
Hao Zhang, Feng Li, Siyi Liu, Lei Zhang, Hang Su, Jun-Juan Zhu, Lionel Ming shuan Ni, and Heung yeung Shum · 2022
Later among the works it cites.
Detrs with collaborative hybrid assignments training
Zhuofan Zong, Guanglu Song, and Yu Liu · 2022
Later among the works it cites.
Detrs beat yolos on real-time object detection
Wenyu Lv, Shangliang Xu, Yian Zhao, Guanzhong Wang, Jinman Wei, Cheng Cui, Yuning Du, Qingqing Dang, and Yi Liu · 2023
Closest in time.
Dense distinct query for end-to-end object detection
Shilong Zhang, Wang xinjiang, Jiaqi Wang, Jiangmiao Pang, Chengqi Lyu, Wenwei Zhang, Ping Luo, and Kai Chen · 2023
Closest in time.