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We describe a DNN for video classification and captioning, trained end-to-end, with shared features, to solve tasks at different levels of granularity, exploring the link between granularity in a source task and the quality of learned features for transfer learning.
A learning algorithm for continually running fully recurrent neural networks
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Exploring nearest neighbor approaches for image captioning
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Online detection and classification of dynamic hand gestures with recurrent 3d convolutional neural network
Pavlo Molchanov, Xiaodong Yang, Shalini Gupta, Kihwan Kim, Stephen Tyree, and Jan Kautz · 2016
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Msr-vtt: A large video description dataset for bridging video and language
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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The ”something something” video database for learning and evaluating visual common sense
Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzyńska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fruend, Peter Yianilos, Moritz Mueller-Freitag, Florian Hoppe, Christian Thurau, Ingo Bax, and Roland Memisevic · 2017
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Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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Oracle performance for visual captioning
Li Yao, Nicolas Ballas, Kyunghyun Cho, John R Smith, and Yoshua Bengio · 2015
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Generating captions without looking beyond objects
Hendrik Heuer, Christof Monz, and Arnold WM Smeulders · 2016
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Temporal tessellation for video annotation and summarization
Dotan Kaufman, Gil Levi, Tal Hassner, and Lior Wolf · 2016
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman
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Very deep convolutional networks for large-scale image recognition
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Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
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The kinetics human action video dataset, 2017
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, and Andrew Zisserman · 2017
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Videolstm convolves, attends and flows for action recognition
Zhenyang Li, Kirill Gavrilyuk, Efstratios Gavves, Mihir Jain, and Cees GM Snoek · 2017
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Temporal relational reasoning in videos
Bolei Zhou, Alex Andonian, and Antonio Torralba · 2017
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Moments in time dataset: one million videos for event understanding, 2018
Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa Brown, Quanfu Fan, Dan Gutfruend, Carl Vondrick, and Aude Oliva · 2018
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