Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge

7 Jul 2016Gurkirt SinghFabio Cuzzolin

Current state-of-the-art human activity recognition is focused on the classification of temporally trimmed videos in which only one action occurs per frame. We propose a simple, yet effective, method for the temporal detection of activities in temporally untrimmed videos with the help of untrimmed classification... (read more)

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