GOMA refines frozen multimodal embeddings via modality-aware graph signal smoothing on attributed graphs to improve retrieval while avoiding over-smoothing.
European conference on computer vision , pages=
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GOMA: Toward Structure-Driven Multimodal Alignment from a Graph Signal Smoothing Perspective
GOMA refines frozen multimodal embeddings via modality-aware graph signal smoothing on attributed graphs to improve retrieval while avoiding over-smoothing.
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