CPC G06V 10/82 (2022.01) [G06F 18/211 (2023.01); G06F 18/213 (2023.01); G06F 18/253 (2023.01); G06T 3/00 (2013.01); G06V 10/7715 (2022.01); G06V 10/806 (2022.01)] | 12 Claims |
1. An image processing method, comprising:
inputting an image into a feature extraction model to generate N dimensional features, N being a positive integer, and the N dimensional features being N features each corresponding to one of multiple dimensions;
performing dimension fusion on M features selected from the N dimensional features to obtain M dimension fusion features, M being a positive integer and less than or equal to N; and
processing the image based on M dimension fusion features and remaining features of the N dimensional features other than the M features,
wherein performing the dimension fusion on the M features selected from the N dimensional features to obtain the M dimension fusion features comprises:
selecting the M features from the N dimensional features based on the number of dimensions corresponding to the N dimensional features;
generating M dimensional features by transforming the M features from a feature map space to a dimension space; and
convoluting and fusing the M dimensional features to obtain the M dimension fusion features.
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