Actionness Estimation Using Hybrid Fully Convolutional Networks


Actionness was introduced to quantify the likelihood of containing a generic action instance at a specific location. Accurate and efficient estimation of actionness is important in video analysis and may benefit other relevant tasks such as action recognition and action detection. This paper presents a new deep architecture for actionness estimation, called… (More)
DOI: 10.1109/CVPR.2016.296


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Citations per Year

Citation Velocity: 95

Averaging 95 citations per year over the last 2 years.

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