Semantic segmentation is an important computer vision task due to its multiple applications in real-world scenarios, including autonomous driving, medical image analysis, remote sensing imagery, fault ...
In computer vision, convolution and pooling operations tend to lose high-frequency information, and the contour details will also disappear with the deepening of the network, especially in image ...
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