A Large-Scale Robustness Analysis of Video Action Recognition Models-Reference-Cited by-同舟云学术

A Large-Scale Robustness Analysis of Video Action Recognition Models

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Schiappa Madeline Chantry¹,Biyani Naman²,Kamtam Prudvi¹,Vyas Shruti¹,Palangi Hamid³,Vineet Vibhav³,Rawat Yogesh¹

Affiliation:

1. University of Central Florida,CRCV

2. IIT Kanpur

3. Microsoft Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203758.pdf?arnumber=10203758

Reference72 articles.

1. Ai failure in real-world application;coberly;Techspot,2020

2. Deep analysis of cnn-based spatiotemporal representations for action recognition;chen;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

3. Asynchronous interaction aggregation for action detection;tang;European Conference on Computer Vision,2020

4. Tclr: Temporal contrastive learning for video representation;dave;Computer Vision and Image Understanding,2022

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