VIDEO REPRESENTATION SELF-SUPERVISED CONTRASTIVE LEARNING METHOD AND APPARATUS
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United States of America
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Nov 21, 2024
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May 7, 2022
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May 7, 2022
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Abstract
The present disclosure relates to the field of video learning. Provided are a video representation self-supervised contrastive learning method and apparatus. The method includes, according to optical flow information corresponding to each video frame of a video clip, obtaining, by means of calculation, a motion amplitude diagram which corresponds to each video frame of the video clip; according to the motion amplitude diagram corresponding to each video frame of the video clip, determining motion information which corresponds to the video clip; and performing video representation self-supervised contrastive learning according to a video clip sequence, and the motion information corresponding to each video clip.
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