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Video-based Activity Recognition Dataset
The dataset used in the paper is a video-based activity recognition dataset, consisting of 90 video sequences spanning three scenarios: SHORT MEAL, HAVE SNACK and NORMAL MEAL. -
THUMOS Challenge: Action Recognition with a Large Number of Classes
THUMOS Challenge: Action Recognition with a Large Number of Classes. -
ActivityNet-1.3
Generating human action proposals in untrimmed videos is an important yet challenging task with wide applications. Current methods often suffer from the noisy boundary locations...