GuideDog supplies 22K egocentric image-description pairs from 46 countries and an 818-sample QA benchmark showing that current multimodal models still struggle with depth perception and BLV-specific guidance rules.
Objectfinder: Open-vocabulary assistive sys- tem for interactive object search by blind people
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EgoExoMem introduces the first cross-view ego–exo video memory benchmark (2.6K MCQs, eight QA types) and E²-Select, a training-free dual-view frame selector scoring 58.2%.
DSAA boosts fine-grained OVD by injecting attribute priors via APA in text embeddings, modulating K/V in BERT, and using attribute-aware contrastive loss, with gains reported on FG-OVD benchmark.
citing papers explorer
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GuideDog: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance
GuideDog supplies 22K egocentric image-description pairs from 46 countries and an 818-sample QA benchmark showing that current multimodal models still struggle with depth perception and BLV-specific guidance rules.
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EgoExoMem: Cross-View Memory Reasoning over Synchronized Egocentric and Exocentric Videos
EgoExoMem introduces the first cross-view ego–exo video memory benchmark (2.6K MCQs, eight QA types) and E²-Select, a training-free dual-view frame selector scoring 58.2%.
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DSAA: Dual-Stage Attribute Activation for Fine-grained Open Vocabulary Detection
DSAA boosts fine-grained OVD by injecting attribute priors via APA in text embeddings, modulating K/V in BERT, and using attribute-aware contrastive loss, with gains reported on FG-OVD benchmark.