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In image classification, a CNN usually ends with a fully connected layer that outputs class probabilities; in object detection, the network predicts bounding box offsets and classes on the feature map; in image segmentation, an encoder-decoder structure is often used to upsample low-resolution semantic features back to the original image size to achieve pixel-level prediction.
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10/13/2026
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