Automatic driving image segmentation method and device, equipment and storage medium

The invention relates to the technical field of computer vision, and discloses an automatic driving image segmentation method and device, equipment and a storage medium. The method comprises the following steps: acquiring an automatic driving image, and inputting the automatic driving image into a pre-trained residual neural network model to acquire an initial feature map; inputting the initial feature map into a pre-trained channel attention network model to obtain a feature vector; and multiplying the initial feature map by the feature vector to obtain a weighted feature map, and segmenting the automatic driving image into a plurality of sub-images according to the weighted feature map. According to the technical scheme of the embodiment of the invention, the residual neural network model is adopted to extract the feature map, and the channel attention network model is adopted to perform weighting processing on the feature map, so that the edge segmentation accuracy of different semantic information in the