Dual-modal iterative denoising anomaly detection method and terminal based on video weak markers
An anomaly detection and dual-modal technology, applied in the field of computer vision, can solve problems such as labeling
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[0056] Embodiments of the present invention are described below through specific examples, 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 implementation modes, and various modifications or 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.
[0057] The present invention adopts the multi-instance learning method as the main frame of anomaly detection, divides the video into multiple video clips as input units, greatly expands the amount of data that can be used by the training network framework in terms of dimensions, and achieves good results in the end. Basic guarantees are provided. The invention uses a multi-instance learning framework for preliminary denoising, uses a...
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