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Multi-Scale Feature Learning in CNN and U-Net Architectures
Keyword: Feature Learning
Scale variation is a persistent source of error in vision models. A semantic concept can occupy a handful of pixels or most of the frame, and dense prediction tasks such as semantic segmentation inte… [+9983 chars]
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