FineCog-Nav uses fine-grained cognitive modules driven by foundation models to outperform zero-shot baselines in UAV navigation and introduces the AerialVLN-Fine benchmark with refined instructions.
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MEBench is a new benchmark and data-generation pipeline that measures mutual exclusivity bias in VLMs, finding weak bias but some use of spatial context to resolve novel-object ambiguity.
citing papers explorer
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FineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation
FineCog-Nav uses fine-grained cognitive modules driven by foundation models to outperform zero-shot baselines in UAV navigation and introduces the AerialVLN-Fine benchmark with refined instructions.
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MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models
MEBench is a new benchmark and data-generation pipeline that measures mutual exclusivity bias in VLMs, finding weak bias but some use of spatial context to resolve novel-object ambiguity.