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Recent years have witnessed the significant progress of action recognition task with deep networks.
DistInit: Learning Video Representations without a Single Labeled Video
Girdhar, R.; Tran, D.; Torresani, L.; and Ramanan, D. 2019 · 1901
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TKD: Temporal Knowledge Distillation for Active Perception
Farhadi, M.; and Yang, Y. 2019 · 1903
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Video Classification with Channel-Separated Convolutional Networks
Tran, D.; Wang, H.; Torresani, L.; and Feiszli, M. 2019 · 1904
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Graph-based Knowledge Distillation by Multi-head Attention Network
Seunghyun Lee, B. C. S. 2019 · 1907
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Convolutional two-stream network fusion for video action recognition
Feichtenhofer, C.; Pinz, A.; and Zisserman, A. 2016 · 1941
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The Fourier transform and its applications , volume 31999
Bracewell, R. N.; and Bracewell, R. N. 1986 · 1986
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STM: SpatioTemporal and Motion Encoding for Action Recognition
Jiang, B.; Wang, M.; Gan, W.; Wu, W.; and Yan, J. 2019 · 2009
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Distilling the knowledge in a neural network
Hinton, G.; Vinyals, O.; and Dean, J. 2015 · 2015
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Learning spatiotemporal features with 3d convolutional networks
Tran, D.; Bourdev, L.; Fergus, R.; Torresani, L.; and Paluri, M. 2015 · 2015
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Deep residual learning for image recognition
He, K.; Zhang, X.; Ren, S.; and Sun, J. 2016 · 2016
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Temporal segment networks: Towards good practices for deep action recognition
Wang, L.; Xiong, Y.; Wang, Z.; Qiao, Y.; Lin, D.; Tang, X.; and Van Gool, L. 2016 · 2016
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Zagoruyko, S.; and Komodakis, N. 2016 · 2016
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Large-Scale YouTube-8M Video Understanding with Deep Neural Networks
Akopyan, M.; and Khashba, E. 2017 · 2017
Cited alongside, same era.
Quo vadis, action recognition? a new model and the kinetics dataset
Carreira, J.; and Zisserman, A. 2017 · 2017
Cited alongside, same era.
The” Something Something” Video Database for Learning and Evaluating Visual Common Sense
Goyal, R.; Kahou, S. E.; Michalski, V.; Materzynska, J.; Westphal, S.; Kim, H.; Haenel, V.; Fruend, I.; Yianilos, P.; Mueller-Freitag, M.; et al. 2017 · 2017
Cited alongside, same era.
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
Qiu, Z.; Yao, T.; and Mei, T. 2017 · 2017
Cited alongside, same era.
A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
Yim, J.; Joo, D.; Bae, J.; and Kim, J. 2017 · 2017
Cited alongside, same era.
Graph Distillation for Action Detection with Privileged Modalities
Luo, Z.; Hsieh, J. T.; Jiang, L.; Niebles, J. C.; and Fei-Fei, L. 2018 · 2018
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Cascaded pyramid mining network for weakly supervised temporal action localization
Su, H.; Zhao, X.; and Lin, T. 2018 · 2018
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Optical flow guided feature: A fast and robust motion representation for video action recognition
Sun, S.; Kuang, Z.; Sheng, L.; Ouyang, W.; and Zhang, W. 2018 · 2018
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Efficient Video Classification Using Fewer Frames
Bhardwaj, S.; Srinivasan, M.; and Khapra, M. M. 2019 · 2019
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Knowledge Adaptation for Efficient Semantic Segmentation
He, T.; Shen, C.; Tian, Z.; Gong, D.; Sun, C.; and Yan, Y. 2019 · 2019
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Modality Distillation with Multiple Stream Networks for Action Recognition
Garcia, N. C.; Morerio, P.; and Murino, V. 2018 · 2018
Cited alongside, same era.
Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?
Hara, K.; Kataoka, H.; and Satoh, Y. 2018 · 2018
Cited alongside, same era.
Knowledge Distillation for Sequence Model
Huang, M.; You, Y.; Chen, Z.; Qian, Y.; and Yu, K. 2018 · 2018
Cited alongside, same era.
Optimizing N-dimensional, winograd-based convolution for manycore CPUs
Jia, Z.; Zlateski, A.; Durand, F.; and Li, K. 2018 · 2018
Cited alongside, same era.
Temporal shift module for efficient video understanding
Lin, J.; Gan, C.; and Han, S. 2018 · 2018
Cited alongside, same era.
Lin, R.; Xiao, J.; and Fan, J. 2018 · 2018
Cited alongside, same era.
T-C3D: Temporal convolutional 3D network for real-time action recognition
Liu, K.; Liu, W.; Gan, C.; Tan, M.; and Ma, H. 2018 · 2018
Cited alongside, same era.
Knowledge distillation with adversarial samples supporting decision boundary
Heo, B.; Lee, M.; Yun, S.; and Choi, J. Y. 2019 · 2019
Later among the works it cites.
Learning lightweight lane detection cnns by self attention distillation
Hou, Y.; Ma, Z.; Liu, C.; and Loy, C. C. 2019 · 2019
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Relational Knowledge Distillation
Park, W.; Kim, D.; Lu, Y.; and Cho, M. 2019 · 2019
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Correlation Congruence for Knowledge Distillation
Peng, B.; Jin, X.; Liu, J.; Zhou, S.; Wu, Y.; Liu, Y.; Li, D.; and Zhang, Z. 2019 · 2019
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Meal: Multi-model ensemble via adversarial learning
Shen, Z.; He, Z.; and Xue, X. 2019 · 2019
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Cross-modal knowledge distillation for action recognition
Thoker, F. M.; and Gall, J. 2019 · 2019
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Progressive Teacher-Student Learning for Early Action Prediction
Wang, X.; Hu, J.-F.; Lai, J.-H.; Zhang, J.; and Zheng, W.-S. 2019 · 2019
Later among the works it cites.