Semantic-aware Video Representation for Few-shot Action Recognition-Reference-Cited by-同舟云学术

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Semantic-aware Video Representation for Few-shot Action Recognition

Published:2024-01-03 Issue: Volume:29 Page:6444-6454
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Tang Yutao¹,Béjar Benjamín²,Vidal René³

Affiliation:

1. Johns Hopkins University

2. Paul Scherrer Institut

3. University of Pennsylvania

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484029.pdf?arnumber=10484029

Reference62 articles.

1. Learning to learn by gradient descent by gradient descent;Andrychowicz;Advances in neural information processing systems,2016

2. How to train your maml;Antoniou,2018

3. ViViT: A Video Vision Transformer

4. Tarn: Temporal attentive relation network for few-shot and zero-shot action recognition;Bishay,2019

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