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Point-supervised Temporal Action Localization (PSTAL) is an emerging research direction for label-efficient learning.
Visualizing data using t-SNE
Van der Maaten, L.; and Hinton, G. 2008 · 2008
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Learning to recognize objects in egocentric activities
Fathi, A.; Ren, X.; and Rehg, J. M. 2011 · 2011
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Discovering important people and objects for egocentric video summarization
Lee, Y. J.; Ghosh, J.; and Grauman, K. 2012 · 2012
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A survey on activity recognition and behavior understanding in video surveillance
Vishwakarma, S.; and Agrawal, A. 2013 · 2013
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You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video
Damen, D.; Leelasawassuk, T.; Haines, O.; Calway, A.; and Mayol-Cuevas, W. W. 2014 · 2014
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Activitynet: A large-scale video benchmark for human activity understanding
Caba Heilbron, F.; Escorcia, V.; Ghanem, B.; and Carlos Niebles, J. 2015 · 2015
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Soft-NMS–improving object detection with one line of code
Bodla, N.; Singh, B.; Chellappa, R.; and Davis, L. S. 2017 · 2017
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Quo vadis, action recognition? a new model and the kinetics dataset
Carreira, J.; and Zisserman, A. 2017 · 2017
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The THUMOS challenge on action recognition for videos “in the wild”
Idrees, H.; Zamir, A. R.; Jiang, Y.-G.; Gorban, A.; Laptev, I.; Sukthankar, R.; and Shah, M. 2017 · 2017
Earlier work this paper cites.
Focal loss for dense object detection
Lin, T.-Y.; Goyal, P.; Girshick, R.; He, K.; and Dollár, P. 2017 · 2017
Earlier work this paper cites.
Untrimmednets for weakly supervised action recognition and detection
Wang, L.; Xiong, Y.; Lin, D.; and Van Gool, L. 2017 · 2017
Earlier work this paper cites.
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.
Autoloc: Weakly-supervised temporal action localization in untrimmed videos
Shou, Z.; Gao, H.; Zhang, L.; Miyazawa, K.; and Chang, S.-F. 2018 · 2018
Cited alongside, same era.
Bmn: Boundary-matching network for temporal action proposal generation
Lin, T.; Liu, X.; Li, X.; Ding, E.; and Wen, S. 2019 · 2019
Cited alongside, same era.
Weakly supervised temporal action localization through contrast based evaluation networks
Liu, Z.; Wang, L.; Zhang, Q.; Gao, Z.; Niu, Z.; Zheng, N.; and Hua, G. 2019 · 2019
Cited alongside, same era.
Background suppression network for weakly-supervised temporal action localization
Lee, P.; Uh, Y.; and Byun, H. 2020 · 2020
Cited alongside, same era.
Sf-net: Single-frame supervision for temporal action localization
Cola: Weakly-supervised temporal action localization with snippet contrastive learning
Zhang, C.; Cao, M.; Yang, D.; Chen, J.; and Zou, Y. 2021 · 2021
Later among the works it cites.
Compact Representation and Reliable Classification Learning for Point-Level Weakly-Supervised Action Localization
Fu, J.; Gao, J.; and Xu, C. 2022 · 2022
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ASM-Loc: action-aware segment modeling for weakly-supervised temporal action localization
He, B.; Yang, X.; Kang, L.; Cheng, Z.; Zhou, X.; and Shrivastava, A. 2022 · 2022
Later among the works it cites.
Proposal-free temporal action detection via global segmentation mask learning
Nag, S.; Zhu, X.; Song, Y.-Z.; and Xiang, T. 2022 · 2022
Later among the works it cites.
Dynamic Graph Modeling for Weakly-Supervised Temporal Action Localization
Shi, H.; Zhang, X.-Y.; Li, C.; Gong, L.; Li, Y.; and Bao, Y. 2022 · 2022
Later among the works it cites.
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Ma, F.; Zhu, L.; Yang, Y.; Zha, S.; Kundu, G.; Feiszli, M.; and Shou, Z. 2020 · 2020
Cited alongside, same era.
G-tad: Sub-graph localization for temporal action detection
Xu, M.; Zhao, C.; Rojas, D. S.; Thabet, A.; and Ghanem, B. 2020 · 2020
Cited alongside, same era.
Divide and conquer for single-frame temporal action localization
Ju, C.; Zhao, P.; Chen, S.; Zhang, Y.; Wang, Y.; and Tian, Q. 2021 · 2021
Cited alongside, same era.
Learning action completeness from points for weakly-supervised temporal action localization
Lee, P.; and Byun, H. 2021 · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Acm-net: Action context modeling network for weakly-supervised temporal action localization
Qu, S.; Chen, G.; Li, Z.; Zhang, L.; Lu, F.; and Knoll, A. 2021 · 2021
Cited alongside, same era.
Rcl: Recurrent continuous localization for temporal action detection
Wang, Q.; Zhang, Y.; Zheng, Y.; and Pan, P. 2022a
Cited in the paper.
Reliable propagation-correction modulation for video object segmentation
Xu, X.; Wang, J.; Li, X.; and Lu, Y. 2022 · 2022
Later among the works it cites.
ACGNet: Action complement graph network for weakly-supervised temporal action localization
Yang, Z.; Qin, J.; and Huang, D. 2022 · 2022
Later among the works it cites.
Actionformer: Localizing moments of actions with transformers
Zhang, C.-L.; Wu, J.; and Li, Y. 2022 · 2022
Later among the works it cites.
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
Ren, H.; Yang, W.; Zhang, T.; and Zhang, Y. 2023 · 2023
Closest in time.
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
Wang, X.; Zhang, S.; Qing, Z.; Gao, C.; Zhang, Y.; Zhao, D.; and Sang, N. 2023 · 2023
Closest in time.