Semantic clustering of patch embeddings at the final model layer, plus fine-tuning, preserves 94.6 to 98.2% of retrieval performance while reducing stored embedding memory to 1.8 to 11.8% of original.
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Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings
Semantic clustering of patch embeddings at the final model layer, plus fine-tuning, preserves 94.6 to 98.2% of retrieval performance while reducing stored embedding memory to 1.8 to 11.8% of original.