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Large-scale object detection datasets (e.g., MS-COCO) try to define the ground truth bounding boxes as clear as possible.
Edge and curve detection for visual scene analysis
Azriel Rosenfeld and Mark Thurston · 1971
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Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2007
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Scalable parallel programming with cuda
John Nickolls, Ian Buck, Michael Garland, and Kevin Skadron · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Optimized pedestrian detection for multiple and occluded people
Sitapa Rujikietgumjorn and Robert T Collins · 2013
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cudnn: Efficient primitives for deep learning
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, and Evan Shelhamer · 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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Caffe: Convolutional architecture for fast feature embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell · 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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Machine learning, a probabilistic perspective, 2014
Christian Robert · 2014
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Non-maximum suppression for object detection by passing messages between windows
Rasmus Rothe, Matthieu Guillaumin, and Luc Van Gool · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Object detection via a multi-region and semantic segmentation-aware cnn model
Spyros Gidaris and Nikos Komodakis · 2015
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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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R-fcn: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
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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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Unitbox: An advanced object detection network
Jiahui Yu, Yuning Jiang, Zhangyang Wang, Zhimin Cao, and Thomas Huang · 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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Cascade r-cnn: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2017
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Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video
Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, and Vincent Vanhoucke · 2017
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Motion prediction of traffic actors for autonomous driving using deep convolutional networks
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, and Jeff Schneider · 2018
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Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection
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Leveraging heteroscedastic aleatoric uncertainties for robust real-time lidar 3d object detection
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Detectron
Ross Girshick, Ilija Radosavovic, Georgia Gkioxari, Piotr Dollár, and Kaiming He · 2018
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Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Channel pruning for accelerating very deep neural networks
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Jan Hendrik Hosang, Rodrigo Benenson, and Bernt Schiele · 2017
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Relation networks for object detection
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Softer-nms: Rethinking bounding box regression for accurate object detection
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Acquisition of localization confidence for accurate object detection
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Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Deng · 2018
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Focal loss for dense object detection
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Feature selective anchor-free module for single-shot object detection
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