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Temporal action detection aims to locate the boundaries of action in the video.
TDN: Temporal Difference Networks for Efficient Action Recognition
Wang, L.; Tong, Z.; Ji, B.; and Wu, G. 2021 · 1904
Earlier work this paper cites.
THUMOS Challenge: Action Recognition with a Large Number of Classes
Jiang, Y.-G.; Liu, J.; Roshan Zamir, A.; Toderici, G.; Laptev, I.; Shah, M.; and Sukthankar, R. 2014 · 2014
Earlier work this paper cites.
Two-Stream Convolutional Networks for Action Recognition in Videos
Simonyan, K.; and Zisserman, A. 2014 · 2014
Earlier work this paper cites.
ActivityNet: A large-scale video benchmark for human activity understanding
Heilbron, F. C.; Escorcia, V.; Ghanem, B.; and Niebles, J. C. 2015 · 2015
Earlier work this paper cites.
Learning Spatiotemporal Features with 3D Convolutional Networks
Tran, D.; Bourdev, L. D.; Fergus, R.; Torresani, L.; and Paluri, M. 2015 · 2015
Earlier work this paper cites.
DAPs: Deep Action Proposals for Action Understanding
Escorcia, V.; Heilbron, F. C.; Niebles, J. C.; and Ghanem, B. 2016 · 2016
Earlier work this paper cites.
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Wang, L.; Xiong, Y.; Wang, Z.; Qiao, Y.; Lin, D.; Tang, X.; and Gool, L. V. 2016 · 2016
Earlier work this paper cites.
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
Xiong, Y.; Wang, L.; Wang, Z.; Zhang, B.; Song, H.; Li, W.; Lin, D.; Qiao, Y.; Gool, L. V.; and Tang, X. 2016 · 2016
Earlier work this paper cites.
End-to-End Learning of Action Detection from Frame Glimpses in Videos
Yeung, S.; Russakovsky, O.; Mori, G.; and Fei-Fei, L. 2016 · 2016
Earlier work this paper cites.
Soft-NMS - Improving Object Detection with One Line of Code
Bodla, N.; Singh, B.; Chellappa, R.; and Davis, L. S. 2017 · 2017
Earlier work this paper cites.
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Carreira, J.; and Zisserman, A. 2017 · 2017
Earlier work this paper cites.
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
Diba, A.; Fayyaz, M.; Sharma, V.; Karami, A. H.; Arzani, M. M.; Yousefzadeh, R.; and Gool, L. V. 2017 · 2017
Earlier work this paper cites.
TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals
Gao, J.; Yang, Z.; Sun, C.; Chen, K.; and Nevatia, R. 2017 · 2017
Earlier work this paper cites.
The Kinetics Human Action Video Dataset
Kay, W.; Carreira, J.; Simonyan, K.; Zhang, B.; Hillier, C.; Vijayanarasimhan, S.; Viola, F.; Green, T.; Back, T.; Natsev, P.; Suleyman, M.; and Zisserman, A. 2017 · 2017
Earlier work this paper cites.
Temporal Convolutional Networks for Action Segmentation and Detection
Lea, C.; Flynn, M. D.; Vidal, R.; Reiter, A.; and Hager, G. D. 2017 · 2017
Cited alongside, same era.
Single Shot Temporal Action Detection
Lin, T.; Zhao, X.; and Shou, Z. 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.
ConvNet Architecture Search for Spatiotemporal Feature Learning
Tran, D.; Ray, J.; Shou, Z.; Chang, S.; and Paluri, M. 2017 · 2017
Cited alongside, same era.
UntrimmedNets for Weakly Supervised Action Recognition and Detection
Wang, L.; Xiong, Y.; Lin, D.; and Gool, L. V. 2017 · 2017
Cited alongside, same era.
TSM: Temporal Shift Module for Efficient Video Understanding
Lin, J.; Gan, C.; and Han, S. 2019 · 2019
Later among the works it cites.
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
Lin, T.; Liu, X.; Li, X.; Ding, E.; and Wen, S. 2019 · 2019
Later among the works it cites.
Multi-Granularity Generator for Temporal Action Proposal
Liu, Y.; Ma, L.; Zhang, Y.; Liu, W.; and Chang, S. 2019 · 2019
Later among the works it cites.
Gaussian Temporal Awareness Networks for Action Localization
Long, F.; Yao, T.; Qiu, Z.; Tian, X.; Luo, J.; and Mei, T. 2019 · 2019
Later among the works it cites.
Boundary Content Graph Neural Network for Temporal Action Proposal Generation
Bai, Y.; Wang, Y.; Tong, Y.; Yang, Y.; Liu, Q.; and Liu, J. 2020 · 2020
Later among the works it cites.
Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network
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Zhao, Y.; Zhang, B.; Wu, Z.; Yang, S.; Zhou, L.; Yan, S.; Wang, L.; Xiong, Y.; Lin, D.; Qiao, Y.; et al. 2017b · 2017
Cited alongside, same era.
Rethinking the Faster R-CNN Architecture for Temporal Action Localization
Chao, Y.; Vijayanarasimhan, S.; Seybold, B.; Ross, D. A.; Deng, J.; and Sukthankar, R. 2018 · 2018
Cited alongside, same era.
CTAP: Complementary Temporal Action Proposal Generation
Gao, J.; Chen, K.; and Nevatia, R. 2018 · 2018
Cited alongside, same era.
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
Lin, T.; Zhao, X.; Su, H.; Wang, C.; and Yang, M. 2018 · 2018
Cited alongside, same era.
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Tran, D.; Wang, H.; Torresani, L.; Ray, J.; LeCun, Y.; and Paluri, M. 2018 · 2018
Cited alongside, same era.
Understanding Convolution for Semantic Segmentation
Wang, P.; Chen, P.; Yuan, Y.; Liu, D.; Huang, Z.; Hou, X.; and Cottrell, G. W. 2018 · 2018
Cited alongside, same era.
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Xie, S.; Sun, C.; Huang, J.; Tu, Z.; and Murphy, K. 2018 · 2018
Cited alongside, same era.
Gao, J.; Shi, Z.; Wang, G.; Li, J.; Yuan, Y.; Ge, S.; and Zhou, X. 2020 · 2020
Later among the works it cites.
Scale Matters: Temporal Scale Aggregation Network For Precise Action Localization In Untrimmed Videos
Gong, G.; Zheng, L.; and Mu, Y. 2020 · 2020
Later among the works it cites.
TEA: Temporal Excitation and Aggregation for Action Recognition
Li, Y.; Ji, B.; Shi, X.; Zhang, J.; Kang, B.; and Wang, L. 2020 · 2020
Later among the works it cites.
TEINet: Towards an Efficient Architecture for Video Recognition
Liu, Z.; Luo, D.; Wang, Y.; Wang, L.; Tai, Y.; Wang, C.; Li, J.; Huang, F.; and Lu, T. 2020 · 2020
Later among the works it cites.
G-TAD: Sub-Graph Localization for Temporal Action Detection
Xu, M.; Zhao, C.; Rojas, D. S.; Thabet, A. K.; and Ghanem, B. 2020 · 2020
Later among the works it cites.
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
Qing, Z.; Su, H.; Gan, W.; Wang, D.; Wu, W.; Wang, X.; Qiao, Y.; Yan, J.; Gao, C.; and Sang, N. 2021 · 2021
Closest in time.
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
Su, H.; Gan, W.; Wu, W.; Qiao, Y.; and Yan, J. 2021 · 2021
Closest in time.
Relaxed Transformer Decoders for Direct Action Proposal Generation
Tan, J.; Tang, J.; Wang, L.; and Wu, G. 2021 · 2021
Closest in time.