Self-supervised learning method and device based on motion sequence regression
A supervised learning, sequential technology, applied in the field of image recognition, can solve the problem of lack of time utilization, and achieve the effect of getting rid of dependence and good generalization ability
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[0044] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.
[0045] Since the current technology mainly lacks effective judgment and modeling of the motion sequence between video frames, three major problems need to be solved: First, design a reasonable sampling strategy to obtain frame sequences with various degrees of motion disorder The second is to define reasonable sequential feature description functions and quantitative indicators as the labels...
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