MIFNet: Multiple instances focused temporal action proposal generation-Reference-Cited by-同舟云学术

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MIFNet: Multiple instances focused temporal action proposal generation

Published:2023-06 Issue: Volume:538 Page:126025
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Lining,Yao Hongxun,Yang Haosen,Wang Sibo,jin Sheng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference75 articles.

1. Human action recognition from various data modalities: A review;Sun;IEEE Trans. Pattern Anal. Mach. Intell.,2022

2. M. Liu, L. Nie, Y. Wang, M. Wang, Y. Rui, A survey on video moment localization, ACM Computing Surveys (CSUR).

3. Temporal segment networks: Towards good practices for deep action recognition;Wang,2016

4. C. Feichtenhofer, H. Fan, J. Malik, K. He, Slowfast networks for video recognition, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019, pp. 6202–6211.

5. Actor identification via mining representative actions;Xie;Neurocomputing,2017

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. Enhancing temporal action localization in an end-to-end network through estimation error incorporation;Image and Vision Computing;2024-05

2. Internal Location Assistance for Temporal Action Proposal Generation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. TAN: a temporal-aware attention network with context-rich representation for boosting proposal generation;Complex & Intelligent Systems;2024-02-22

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