Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition

MM '20: The 28th ACM International Conference on Multimedia Seattle WA USA October, 2020, pp. 1142-1151, 2020.

被引用0|引用|浏览24|DOI:https://doi.org/10.1145/3394171.3413502
EI
其它链接dl.acm.org|arxiv.org|dblp.uni-trier.de|academic.microsoft.com

摘要

Humans can easily recognize actions with only a few examples given, while the existing video recognition models still heavily rely on the large-scale labeled data inputs. This observation has motivated an increasing interest in few-shot video action recognition, which aims at learning new actions with only very few labeled samples. In thi...更多

代码

数据

下载 PDF 全文
您的评分 :
0

 

标签
评论