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Pseudo-label learning methods have been widely applied in weakly-supervised temporal action localization.
Dividemix: Learning with noisy labels as semi-supervised learning
Li, J.; Socher, R.; and Hoi, S. C. 2020 · 2002
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Efficient non-maximum suppression
Neubeck, A.; and Van Gool, L. 2006 · 2006
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Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Carreira, J.; and Zisserman, A. 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
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Temporal action detection with structured segment networks
Zhao, Y.; Xiong, Y.; Wang, L.; Wu, Z.; Tang, X.; and Lin, D. 2017 · 2017
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Rethinking the faster r-cnn architecture for temporal action localization
Chao, Y.-W.; Vijayanarasimhan, S.; Seybold, B.; Ross, D. A.; Deng, J.; and Sukthankar, R. 2018 · 2018
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Graph matching and pseudo-label guided deep unsupervised domain adaptation
Das, D.; and Lee, C. G. 2018 · 2018
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Weakly supervised action localization by sparse temporal pooling network
Nguyen, P.; Liu, T.; Prasad, G.; and Han, B. 2018 · 2018
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W-talc: Weakly-supervised temporal activity localization and classification
Paul, S.; Roy, S.; and Roy-Chowdhury, A. K. 2018 · 2018
Earlier work this paper cites.
Completeness modeling and context separation for weakly supervised temporal action localization
Liu, D.; Jiang, T.; and Wang, Y. 2019 · 2019
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Early-learning regularization prevents memorization of noisy labels
Liu, S.; Niles-Weed, J.; Razavian, N.; and Fernandez-Granda, C. 2020 · 2020
Earlier work this paper cites.
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
Luo, Z.; Guillory, D.; Shi, B.; Ke, W.; Wan, F.; Darrell, T.; and Xu, H. 2020 · 2020
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Sf-net: Single-frame supervision for temporal action localization
Ma, F.; Zhu, L.; Yang, Y.; Zha, S.; Kundu, G.; Feiszli, M.; and Shou, Z. 2020 · 2020
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Identifying mislabeled data using the area under the margin ranking
Pleiss, G.; Zhang, T.; Elenberg, E.; and Weinberger, K. Q. 2020 · 2020
Cited alongside, same era.
Instance-aware, context-focused, and memory-efficient weakly supervised object detection
Ren, Z.; Yu, Z.; Yang, X.; Liu, M.-Y.; Lee, Y. J.; Schwing, A. G.; and Kautz, J. 2020 · 2020
Cited alongside, same era.
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
Zhai, Y.; Wang, L.; Tang, W.; Zhang, Q.; Yuan, J.; and Hua, G. 2020 · 2020
Cited alongside, same era.
Cross-modal consensus network for weakly supervised temporal action localization
Hong, F.-T.; Feng, J.-C.; Xu, D.; Shan, Y.; and Zheng, W.-S. 2021 · 2021
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.
Semi-supervised vision transformers
Weng, Z.; Yang, X.; Li, A.; Wu, Z.; and Jiang, Y.-G. 2022 · 2022
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Equivalent classification mapping for weakly supervised temporal action localization
Zhao, T.; Han, J.; Yang, L.; and Zhang, D. 2022 · 2022
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Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization
Ju, C.; Zheng, K.; Liu, J.; Zhao, P.; Zhang, Y.; Chang, J.; Tian, Q.; and Wang, Y. 2023 · 2023
Later among the works it cites.
Prototype contrastive learning for point-supervised temporal action detection
Li, P.; Cao, J.; and Ye, X. 2023 · 2023
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Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach
Liu, Q.; Wang, Z.; Rong, S.; Li, J.; and Zhang, Y. 2023 · 2023
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Lee, P.; and Byun, H. 2021 · 2021
Cited alongside, same era.
Weakly-supervised temporal action localization by uncertainty modeling
Lee, P.; Wang, J.; Lu, Y.; and Byun, H. 2021 · 2021
Cited alongside, same era.
D2-net: Weakly-supervised action localization via discriminative embeddings and denoised activations
Narayan, S.; Cholakkal, H.; Hayat, M.; Khan, F. S.; Yang, M.-H.; and Shao, L. 2021 · 2021
Cited alongside, same era.
Refineloc: Iterative refinement for weakly-supervised action localization
Pardo, A.; Alwassel, H.; Caba, F.; Thabet, A.; and Ghanem, B. 2021 · 2021
Cited alongside, same era.
Cola: Weakly-supervised temporal action localization with snippet contrastive learning
Zhang, C.; Cao, M.; Yang, D.; Chen, J.; and Zou, Y. 2021 · 2021
Cited alongside, same era.
Dual-evidential learning for weakly-supervised temporal action localization
Chen, M.; Gao, J.; Yang, S.; and Xu, C. 2022 · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Proposal-based multiple instance learning for weakly-supervised temporal action localization
Ren, H.; Yang, W.; Zhang, T.; and Zhang, Y. 2023 · 2023
Later among the works it cites.
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization
Rizve, M. N.; Mittal, G.; Yu, Y.; Hall, M.; Sajeev, S.; Shah, M.; and Chen, M. 2023 · 2023
Later among the works it cites.
Tridet: Temporal action detection with relative boundary modeling
Shi, D.; Zhong, Y.; Cao, Q.; Ma, L.; Li, J.; and Tao, D. 2023 · 2023
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Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
Zhou, J.; Huang, L.; Wang, L.; Liu, S.; and Li, H. 2023 · 2023
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GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
Chen, Y.; Huang, X.; Zhang, Q.; Li, W.; Zhu, M.; Yan, Q.; Li, S.; Chen, H.; Hu, H.; Yang, J.; et al. 2024 · 2024
Later among the works it cites.
Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature
Yun, W.; Qi, M.; Wang, C.; and Ma, H. 2024 · 2024
Later among the works it cites.
Can MLLMs Guide Weakly-Supervised Temporal Action Localization Tasks?
Zhang, Q.; and Qi, Y. 2024 · 2024
Later among the works it cites.