A multi-task CLIP model with LoRA, multi-level CLS fusion, and spherical feature interpolation reports 95% accuracy and strong retrieval scores on the ENTRep endoscopy benchmark.
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Multi-Level CLS Token Fusion for Contrastive Learning in Endoscopy Image Classification
A multi-task CLIP model with LoRA, multi-level CLS fusion, and spherical feature interpolation reports 95% accuracy and strong retrieval scores on the ENTRep endoscopy benchmark.