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Label assignment has been widely studied in general object detection because of its great impact on detectors' performance.
Gaussian mixture models
Douglas A Reynolds · 2009
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Pedestrian detection: An evaluation of the state of the art
Piotr Dollar, Christian Wojek, Bernt Schiele, and Pietro Perona · 2011
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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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Fast r-cnn
Ross Girshick · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Citypersons: A diverse dataset for pedestrian detection
Shanshan Zhang, Rodrigo Benenson, and Bernt Schiele · 2017
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Cascade r-cnn: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
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Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Deng · 2018
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Crowdhuman: A benchmark for detecting human in a crowd
Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, and Jian Sun · 2018
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Repulsion loss: Detecting pedestrians in a crowd
Xinlong Wang, Tete Xiao, Yuning Jiang, Shuai Shao, Jian Sun, and Chunhua Shen · 2018
Cited alongside, same era.
Group normalization
Yuxin Wu and Kaiming He · 2018
Cited alongside, same era.
Metaanchor: Learning to detect objects with customized anchors
Tong Yang, Xiangyu Zhang, Zeming Li, Wenqiang Zhang, and Jian Sun · 2018
Cited alongside, same era.
Occlusion-aware r-cnn: detecting pedestrians in a crowd
Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, and Stan Z Li · 2018
Cited alongside, same era.
Occluded pedestrian detection through guided attention in cnns
Shanshan Zhang, Jian Yang, and Bernt Schiele · 2018
Cited alongside, same era.
Bi-box regression for pedestrian detection and occlusion estimation
Chunluan Zhou and Junsong Yuan · 2018
Cited alongside, same era.
Bottom-up object detection by grouping extreme and center points
Xingyi Zhou, Jiacheng Zhuo, and Philipp Krahenbuhl · 2019
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Feature selective anchor-free module for single-shot object detection
Chenchen Zhu, Yihui He, and Marios Savvides · 2019
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Prime sample attention in object detection
Yuhang Cao, Kai Chen, Chen Change Loy, and Dahua Lin · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Ps-rcnn: Detecting secondary human instances in a crowd via primary object suppression
Zheng Ge, Zequn Jie, Xin Huang, Rong Xu, and Osamu Yoshie · 2020
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Nms by representative region: Towards crowded pedestrian detection by proposal pairing
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Adaptive nms: Refining pedestrian detection in a crowd
Songtao Liu, Di Huang, and Yunhong Wang · 2019
Cited alongside, same era.
Mask-guided attention network for occluded pedestrian detection
Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, and Ling Shao · 2019
Cited alongside, same era.
Generalized intersection over union: A metric and a loss for bounding box regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
Cited alongside, same era.
Fcos: Fully convolutional one-stage object detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
Cited alongside, same era.
Region proposal by guided anchoring
Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, and Dahua Lin · 2019
Cited alongside, same era.
Reppoints: Point set representation for object detection
Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, and Stephen Lin · 2019
Cited alongside, same era.
Xin Huang, Zheng Ge, Zequn Jie, and Osamu Yoshie · 2020
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Probabilistic anchor assignment with iou prediction for object detection
Kang Kim and Hee Seok Lee · 2020
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Foveabox: Beyound anchor-based object detection
Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Lei Li, and Jianbo Shi · 2020
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Learning from noisy anchors for one-stage object detection
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, and Larry S Davis · 2020
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End-to-end object detection with fully convolutional network
Jianfeng Wang, Lin Song, Zeming Li, Hongbin Sun, Jian Sun, and Nanning Zheng · 2020
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Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection
Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, and Stan Z Li · 2020
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Distance-iou loss: Faster and better learning for bounding box regression
Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, and Dongwei Ren · 2020
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Autoassign: Differentiable label assignment for dense object detection
Benjin Zhu, Jianfeng Wang, Zhengkai Jiang, Fuhang Zong, Songtao Liu, Zeming Li, and Jian Sun · 2020
Later among the works it cites.