CapCLIP uses pathology-aware text captions to align WCE images in a vision-language space, outperforming standard models in zero-shot classification and retrieval on unseen data.
Learning transferable visual models from natural language supervision
3 Pith papers cite this work. Polarity classification is still indexing.
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UniCA proposes bi-directional cross-attention and positive similarity loss for multi-modal retrieval and reports up to 4.09% Recall@5 gain on WebQA hybrid tasks versus baseline.
Delta Forcing constrains unreliable teacher supervision in autoregressive video models using an adaptive trust region based on latent trajectory deltas to improve consistency without losing event responsiveness.
citing papers explorer
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CapCLIP: A Vision-Language Representation Alignment Approach for Wireless Capsule Endoscopy Analysis
CapCLIP uses pathology-aware text captions to align WCE images in a vision-language space, outperforming standard models in zero-shot classification and retrieval on unseen data.
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UniCA: Bi-directional Cross-Attention with Positive Similarity Loss for Robust Multi-Modal Retrieval
UniCA proposes bi-directional cross-attention and positive similarity loss for multi-modal retrieval and reports up to 4.09% Recall@5 gain on WebQA hybrid tasks versus baseline.
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Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation
Delta Forcing constrains unreliable teacher supervision in autoregressive video models using an adaptive trust region based on latent trajectory deltas to improve consistency without losing event responsiveness.