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Conventional training of a deep CNN based object detector demands a large number of bounding box annotations, which may be unavailable for rare categories.
One-shot learning of object categories
Fei-Fei Li, Rob Fergus, and Pietro Perona · 2006
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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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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One-shot learning by inverting a compositional causal process
Brenden M Lake, Ruslan R Salakhutdinov, and Josh Tenenbaum · 2013
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Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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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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Spatial pyramid pooling in deep convolutional networks for visual recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 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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Weakly-supervised discovery of visual pattern configurations
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, and Trevor Darrell · 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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Siamese neural networks for one-shot image recognition
Gregory Koch · 2015
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Watch and learn: Semi-supervised learning for object detectors from video
Ishan Misra, Abhinav Shrivastava, and Martial Hebert · 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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Model recommendation: Generating object detectors from few samples
Yu-Xiong Wang and Martial Hebert · 2015
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Learning feed-forward one-shot learners
Luca Bertinetto, João F Henriques, Jack Valmadre, Philip Torr, and Andrea Vedaldi · 2016
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Weakly supervised deep detection networks
Hakan Bilen and Andrea Vedaldi · 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
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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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Yolo9000: Better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
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Deep learning in medical image analysis
Dinggang Shen, Guorong Wu, and Heung-Il Suk · 2017
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Dsod: Learning deeply supervised object detectors from scratch
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, and Xiangyang Xue · 2017
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Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard Zemel · 2017
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Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, and Ajay Divakaran · 2018
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Tim Lillicrap, Daan Wierstra, et al · 2016
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Weakly supervised cascaded convolutional networks
Ali Diba, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, and Luc Van Gool · 2017
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Few-example object detection with model communication
Xuanyi Dong, Liang Zheng, Fan Ma, Yi Yang, and Deyu Meng · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Low-shot visual recognition by shrinking and hallucinating features
Bharath Hariharan and Ross Girshick · 2017
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Label efficient learning of transferable representations acrosss domains and tasks
Zelun Luo, Yuliang Zou, Judy Hoffman, and Li F Fei-Fei · 2017
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Hao Chen, Yali Wang, Guoyou Wang, and Yu Qiao · 2018
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Lifelong machine learning
Zhiyuan Chen and Bing Liu · 2018
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Low-shot learning with large-scale diffusion
Matthijs Douze, Arthur Szlam, Bharath Hariharan, and Hervé Jégou · 2018
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Dynamic few-shot visual learning without forgetting
Spyros Gidaris and Nikos Komodakis · 2018
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Zero-shot object detection: Learning to simultaneously recognize and localize novel concepts
Shafin Rahman, Salman Khan, and Fatih Porikli · 2018
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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Learning to compare: Relation network for few-shot learning
Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip HS Torr, and Timothy M Hospedales · 2018
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Low-shot learning from imaginary data
Yu-Xiong Wang, Ross Girshick, Martial Hebert, and Bharath Hariharan · 2018
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