A specialist classifier feeding a pruned VLM with knowledge-graph grounding reports 82.1% diagnostic accuracy on a 39-image dermatology test set, about 18 percentage points above a fine-tuned VLM baseline.
Vision-language models for vision tasks: A survey,
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CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering
A specialist classifier feeding a pruned VLM with knowledge-graph grounding reports 82.1% diagnostic accuracy on a 39-image dermatology test set, about 18 percentage points above a fine-tuned VLM baseline.