OpenTAL: Towards Open Set Temporal Action Localization
Author:
Affiliation:
1. Rochester Institute of Technology,Rochester,NY,USA,14623
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878843.pdf?arnumber=9878843
Reference76 articles.
1. Temporal Action Detection with Structured Segment Networks
2. Quantifying classification uncertainty using regularized evidential neural networks;zhao;AAAI,2019
3. Bottom-up temporal action localization with mutual regularization;zhao;ECCV,2020
4. Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation
5. Annotationefficient untrimmed video action recognition;zou;ACM MM,2021
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2. Learning Generalized Representations for Open-Set Temporal Action Localization;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
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4. Universal Prototype Transport for Zero-Shot Action Recognition and Localization;International Journal of Computer Vision;2023-07-19
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