Semantic Segmentation
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Per-pixel classification of images. Every pixel is assigned a class label. Key models: U-Net (medical imaging), DeepLab (dilated convolutions), Mask R-CNN (instance segmentation — separate masks per object).
Related
- Object Detection (box-level instead of pixel)
- CNN Architectures (backbone networks)