A Pursuit of Temporal Accuracy in General Activity Detection
arXiv: Computer Vision and Pattern Recognition, Volume abs/1703.02716, 2017.
Detecting activities in untrimmed videos is an important but challenging task. The performance of existing methods remains unsatisfactory, e.g., they often meet difficulties in locating the beginning and end of a long complex action. In this paper, we propose a generic framework that can accurately detect a wide variety of activities from...More
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