OW-TAL: Learning Unknown Human Activities for Open-World Temporal Action Localization-Reference-Cited by-同舟云学术

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OW-TAL: Learning Unknown Human Activities for Open-World Temporal Action Localization

Published:2023-01 Issue: Volume:133 Page:109027
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhang Yaru,Zhang Xiao-Yu,Shi Haichao

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference71 articles.

1. Temporal action detection using a statistical language model;Richard,2016

2. Temporal context network for activity localization in videos;Dai,2017

3. Action search: Spotting actions in videos and its application to temporal action localization;Alwassel,2018

4. Play and rewind: context-aware video temporal action proposals;Gao;Pattern Recognit.,2020

5. Multi-class open set recognition using probability of inclusion;Jain,2014

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A neurosymbolic cognitive architecture framework for handling novelties in open worlds;Artificial Intelligence;2024-06

2. Double branch synergies with modal reinforcement for weakly supervised temporal action detection;Journal of Visual Communication and Image Representation;2024-03

3. Improve Temporal Action Proposals using Hierarchical Context;Pattern Recognition;2023-08

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