IMAGE PROCESSING METHOD, TRAINING METHOD, AND APPARATUS

    公开(公告)号:US20240029406A1

    公开(公告)日:2024-01-25

    申请号:US18481096

    申请日:2023-10-04

    Abstract: An image processing method includes: obtains a to-be-processed image, performs feature extraction on the to-be-processed image by using a feature extraction layer included in a convolutional neural network, to obtain a first feature map, and compresses the first feature map by using a feature compression layer included in the convolutional neural network, to obtain a second feature map, where a channel quantity of the second feature map is less than a channel quantity of the first feature map; and the sending node sends the second feature map to a receiving node. The first feature map of the to-be-processed image is obtained through extraction by using the feature extraction layer, and the first feature map is compressed by using the feature compression layer, to obtain the second feature map.

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