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Despite increasing efforts on universal representations for visual recognition, few have addressed object detection.
Eye movements during perception of complex objects
Alfred L Yarbus · 1967
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Multirate systems and filter banks
Parishwad P Vaidyanathan · 1993
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Control of visual attention
Steven Yantis · 1998
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Vision science: Photons to phenomenology
Stephen E Palmer · 1999
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Visual attention
Jeremy M Wolfe · 2000
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Learning multiple tasks with kernel methods
Theodoros Evgeniou, Charles A Micchelli, and Massimiliano Pontil · 2005
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A principled approach to detecting surprising events in video
Laurent Itti and Pierre Baldi · 2005
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Cross-domain learning methods for high-level visual concept classification
Wei Jiang, Eric Zavesky, Shih-Fu Chang, and Alex Loui · 2008
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Multi-task learning via conic programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, and Kiyoshi Asai · 2008
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Multi-domain learning by confidence-weighted parameter combination
Mark Dredze, Alex Kulesza, and Koby Crammer · 2010
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Object detection with discriminatively trained part-based models
Pedro F Felzenszwalb, Ross B Girshick, David McAllester, and Deva Ramanan · 2010
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Multi-domain learning: when do domains matter?
Mahesh Joshi, William W Cohen, Mark Dredze, and Carolyn P Rosé · 2012
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Undoing the damage of dataset bias
Aditya Khosla, Tinghui Zhou, Tomasz Malisiewicz, Alexei A Efros, and Antonio Torralba · 2012
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Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey
Andreas Møgelmose, Mohan M Trivedi, and Thomas B Moeslund · 2012
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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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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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A unified perspective on multi-domain and multi-task learning
Yongxin Yang and Timothy M Hospedales · 2014
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The pascal visual object classes challenge: A retrospective
Mark Everingham, SM Ali Eslami, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2015
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Fast r-cnn
Ross Girshick · 2015
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Learning transferable features with deep adaptation networks
Mingsheng Long, Yue Cao, Jianmin Wang, and Michael I Jordan · 2015
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Visual domain adaptation: A survey of recent advances
Vishal M Patel, Raghuraman Gopalan, Ruonan Li, and Rama Chellappa · 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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Towards unified depth and semantic prediction from a single image
Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian Price, and Alan L Yuille · 2015
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A unified multi-scale deep convolutional neural network for fast object detection
Zhaowei Cai, Quanfu Fan, Rogerio S Feris, and Nuno Vasconcelos · 2016
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R-fcn: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
Cited alongside, same era.
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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Hierarchical clustering multi-task learning for joint human action grouping and recognition
Anan Liu, Yuting Su, Weizhi Nie, and Mohan S Kankanhalli · 2017
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Ssh: Single stage headless face detector
Mahyar Najibi, Pouya Samangouei, Rama Chellappa, and Larry S Davis · 2017
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Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, and Andrea Vedaldi · 2017
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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 · 2017
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Adversarial discriminative domain adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell · 2017
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Georgios Georgakis, Md Alimoor Reza, Arsalan Mousavian, Phi-Hung Le, and Jana Kosecka · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
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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Cross-stitch networks for multi-task learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, and Martial Hebert · 2016
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Learning multi-domain convolutional neural networks for visual tracking
Hyeonseob Nam and Bohyung Han · 2016
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Learning multi-domain convolutional neural networks for visual tracking
Hyeonseob Nam and Bohyung Han · 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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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A faster pytorch implementation of faster r-cnn
Jianwei Yang, Jiasen Lu, Dhruv Batra, and Devi Parikh · 2017
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An overview of multi-task learning
Yu Zhang and Qiang Yang · 2017
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Cascade R-CNN: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
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Cross-domain weakly-supervised object detection through progressive domain adaptation
Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki, and Kiyoharu Aizawa · 2018
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Piggyback: Adapting a single network to multiple tasks by learning to mask weights
Arun Mallya, Dillon Davis, and Svetlana Lazebnik · 2018
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Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
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Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi, Hakan Bilen, and Andrea Vedaldi · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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Incremental learning through deep adaptation
Amir Rosenfeld and John K Tsotsos · 2018
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Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
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Dota: A large-scale dataset for object detection in aerial images
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang · 2018
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3d context enhanced region-based convolutional neural network for end-to-end lesion detection
Ke Yan, Mohammadhadi Bagheri, and Ronald M Summers · 2018
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Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam Harrison, Mohammadhadi Bagheri, and Ronald M Summers · 2018
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Taskonomy: Disentangling task transfer learning
Amir R Zamir, Alexander Sax, William Shen, Leonidas Guibas, Jitendra Malik, and Silvio Savarese · 2018
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