ProtoLIP: From Sentence-Level to Object-Level Evidence Disentanglement

Not provided in the abstract

multimodalevidence localizationprototype-based learning

2609.16284

Builder Relevance

80%

1h ago

Abstract

ProtoLIP introduces a lightweight evidence layer that enhances object-level evidence localization in vision-language models without requiring spatial annotations.

Reality Card

Core Claim

ProtoLIP improves evidence localization and separation across query granularities while remaining competitive with spatially supervised models.

Method / Result

ProtoLIP achieves improved evidence localization and separation without spatial annotations or backbone retraining.

Limitations

The method relies on text-derived weak supervision, which may limit its applicability in scenarios requiring strong supervision.

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