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Online Action Detection (OAD) in videos is proposed as a per-frame labeling task to address the real-time prediction tasks that can only obtain the previous and current video frames.
Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston · 2009
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A new learning paradigm: Learning using privileged information
Vladimir Vapnik and Akshay Vashist · 2009
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Do deep nets really need to be deep?
Lei Jimmy Ba and Rich Caruana · 2014
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Fitnets: Hints for thin deep nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, and Yoshua Bengio · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Learning using privileged information: similarity control and knowledge transfer
Vladimir Vapnik and Rauf Izmailov · 2015
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Online action detection
Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, and Tinne Tuytelaars · 2016
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Wavenet: A generative model for raw audio
Aaron Van Den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu · 2016
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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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Red: Reinforced encoder-decoder networks for action anticipation
Jiyang Gao, Zhenheng Yang, and Ram Nevatia · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 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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Rethinking the faster r-cnn architecture for temporal action localization
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A Ross, Jia Deng, and Rahul Sukthankar · 2018
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Bsn: Boundary sensitive network for temporal action proposal generation
Tianwei Lin, Xu Zhao, Haisheng Su, Chongjing Wang, and Ming Yang · 2018
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Online action detection in untrimmed, streaming videos
Zheng Shou, Junting Pan, Jonathan Chan, Kazuyuki Miyazawa, Hassan Mansour, Anthony Vetro, Xavier Giro-I-Nieto, and Shih Fu Chang · 2018
Cited alongside, same era.
Deep mutual learning
Ying Zhang, Tao Xiang, Timothy M. Hospedales, and Huchuan Lu · 2018
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Knowledge distillation from internal representations
Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Yao, and Chenlei Guo · 2019
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Variational information distillation for knowledge transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, and Zhenwen Dai · 2019
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On the efficacy of knowledge distillation
Jang Hyun Cho and Bharath Hariharan · 2019
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Startnet: Online detection of action start in untrimmed videos
Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, and Caiming Xiong · 2019
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Snapshot distillation: Teacher-student optimization in one generation
Chenglin Yang, Lingxi Xie, Chi Su, and Alan L. Yuille · 2019
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Graph convolutional networks for temporal action localization
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, and Chuang Gan · 2019
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Learning to discriminate information for online action detection
Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, and Changick Kim · 2020
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Accurate temporal action proposal generation with relation-aware pyramid network
Jialin Gao, Zhixiang Shi, Guanshuo Wang, Jiani Li, Yufeng Yuan, Shiming Ge, and Xi Zhou · 2020
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Residual knowledge distillation
Mengya Gao, Yujun Shen, Quanquan Li, and Chen Change Loy · 2020
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Bmn: Boundary-matching network for temporal action proposal generation
Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, and Shilei Wen · 2019
Cited alongside, same era.
Completeness modeling and context separation for weakly supervised temporal action localization
Daochang Liu, Tingting Jiang, and Yizhou Wang · 2019
Cited alongside, same era.
Knowledge flow: Improve upon your teachers
Iou Jen Liu, Jian Peng, and Alexander G Schwing · 2019
Cited alongside, same era.
Multi-granularity generator for temporal action proposal
Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu, and Shih-Fu Chang · 2019
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Meal: Multi-model ensemble via adversarial learning
Zhiqiang Shen, Zhankui He, and Xiangyang Xue · 2019
Cited alongside, same era.
Afo-tad: Anchor-free one-stage detector for temporal action detection
Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, and Jimin Liang · 2019
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Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, and Caiming Xiong · 2020
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Variational student: Learning compact and sparser networks in knowledge distillation framework
Srinidhi Hegde, Ranjitha Prasad, Ramya Hebbalaguppe, and Vishwajith Kumar · 2020
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Improved knowledge distillation via teacher assistant
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, and Hassan Ghasemzadeh · 2020
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Densely guided knowledge distillation using multiple teacher assistants
Wonchul Son, Jaemin Na, and Wonjun Hwang · 2020
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G-tad: Sub-graph localization for temporal action detection
Mengmeng Xu, Chen Zhao, David S. Rojas, Ali Thabet, and Bernard Ghanem · 2020
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Kernel based progressive distillation for adder neural networks
Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, and Yunhe Wang · 2020
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Revisiting anchor mechanisms for temporal action localization
Le Yang, Houwen Peng, Dingwen Zhang, Jianlong Fu, and Junwei Han · 2020
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A novel online action detection framework from untrimmed video streams
Da Hye Yoon, Nam Gyu Cho, and Seong Whan Lee · 2020
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Bottom-up temporal action localization with mutual regularization
Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, and Qi Tian · 2020
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