SIFR fuses CLIP and DINOv2 spectrally for domain-general segmentation
The method filters domain-sensitive responses at fusion and stabilizes multi-scale decoder features before dense prediction.
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The method filters domain-sensitive responses at fusion and stabilizes multi-scale decoder features before dense prediction.
TrED formalizes transfer learning for domains whose data availability evolves over time, arguing classical settings are regimes along one trajectory, and remains unsolved.
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