microCLIP is a lightweight self-training framework that adapts CLIP for fine-grained image classification without requiring labeled data. While CLIP is strong in zero-shot transfer, it primarily ...
Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
Abstract: Pre-trained vision-language models (VLMs) and language models (LMs) have recently garnered significant attention due to their remarkable ability to represent textual concepts, opening up new ...
Abstract: Unsupervised domain adaptive semantic segmentation (UDA-SS) for remote sensing imagery remains challenging due to the substantial distribution shifts across regions and sensors. Existing ...
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