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The performance of object detection, to a great extent, depends on the availability of large annotated datasets.
Solving the multiple instance problem with axis-parallel rectangles
Thomas G Dietterich, Richard H Lathrop, and Tomás Lozano-Pérez · 1997
Earlier work this paper cites.
Localizing objects while learning their appearance
Thomas Deselaers, Bogdan Alexe, and Vittorio Ferrari · 2010
Earlier work this paper cites.
The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks
Dong-Hyun Lee · 2013
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Learning with pseudo-ensembles
Philip Bachman, Ouais Alsharif, and Doina Precup · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Multi-fold mil training for weakly supervised object localization
Ramazan Gokberk Cinbis, Jakob Verbeek, and Cordelia Schmid · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
On learning to localize objects with minimal supervision
Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui, and Trevor Darrell · 2014
Earlier work this paper cites.
Weakly-supervised discovery of visual pattern configurations
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, and Trevor Darrell · 2014
Earlier work this paper cites.
Fast r-cnn
Ross Girshick · 2015
Earlier work this paper cites.
Semi-supervised learning with ladder networks
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, and Tapani Raiko · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Weakly supervised deep detection networks
Hakan Bilen and Andrea Vedaldi · 2016
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Contextlocnet: Context-aware deep network models for weakly supervised localization
Vadim Kantorov, Maxime Oquab, Minsu Cho, and Ivan Laptev · 2016
Earlier work this paper cites.
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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Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham W Taylor · 2017
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Weakly supervised cascaded convolutional networks
Ali Diba, Vivek Sharma, Ali Pazandeh, Hamed Pirsiavash, and Luc Van Gool · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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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 · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollar · 2017
Semi-supervised object detection with unlabeled data
Nhu-Van Nguyen, Rigaud Christophe, and Burie Jean-Christophe · 2019
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Libra r-cnn: Towards balanced learning for object detection
Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, and Dahua Lin · 2019
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Semi-supervised learning by coaching
Hieu Pham and Quoc V Le · 2019
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Category-aware spatial constraint for weakly supervised detection
Yunhang Shen, Rongrong Ji, Kuiyuan Yang, Cheng Deng, and Changhu Wang · 2019
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Learning efficient detector with semi-supervised adaptive distillation
Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei Zhang, and Yimin Chen · 2019
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Fcos: Fully convolutional one-stage object detection
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Yolo9000: better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
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Multiple instance detection network with online instance classifier refinement
Peng Tang, Xinggang Wang, Xiang Bai, and Wenyu Liu · 2017
Cited alongside, same era.
Cascade r-cnn: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
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Relation networks for object detection
Han Hu, Jiayuan Gu, Zheng Zhang, Jifeng Dai, and Yichen Wei · 2018
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Pcl: Proposal cluster learning for weakly supervised object detection
Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, and Alan Yuille · 2018
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Weakly-and semi-supervised faster r-cnn with curriculum learning
Jiasi Wang, Xinggang Wang, and Wenyu Liu · 2018
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Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Pseudo-labeling and confirmation bias in deep semi-supervised learning
Eric Arazo, Diego Ortego, Paul Albert, Noel E O’Connor, and Kevin McGuinness · 2020
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Temporal self-ensembling teacher for semi-supervised object detection
Cong Chen, Shouyang Dong, Ye Tian abd Kunlin Cao, Li Liu, and Yuanhao Guo · 2020
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Interpolation-based semi-supervised learning for object detection
Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, and Nojun Kwak · 2020
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Fixmatch: Simplifying semi-supervised learning with consistency and confidence
Alex Kurakin, Chun-Liang Li, Colin Raffel, David Berthelot, Ekin Dogus Cubuk, Han Zhang, Kihyuk Sohn, Nicholas Carlini, and Zizhao Zhang · 2020
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Object instance mining for weakly supervised object detection
Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, and Wayne Zhang · 2020
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A simple semi-supervised learning framework for object detection
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, and Tomas Pfister · 2020
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Proposal learning for semi-supervised object detection
Peng Tang, Chetan Ramaiah, Ran Xu, and Caiming Xiong · 2020
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Self-training with noisy student improves imagenet classification
Qizhe Xie, Minh-Thang Luong, Eduard Hovy, and Quoc V Le · 2020
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