Object-based environment inference via kernel density estimates on learned object features achieves zero-shot room retrieval and beats scene-based CLIP.
Do more negative samples necessarily hurt in contrastive learn- ing? InInternational conference on machine learning, pages 1101–1116
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OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference
Object-based environment inference via kernel density estimates on learned object features achieves zero-shot room retrieval and beats scene-based CLIP.