A challenge report showing that MLLM-generated scene graphs and ConceptNet knowledge graphs each give small accuracy gains over a video-only baseline, and that per-category selection reaches 44.21% on the HD-EPIC VQA benchmark.
Towards Neuro- Symbolic Video Understanding, page 220–236
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From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge
A challenge report showing that MLLM-generated scene graphs and ConceptNet knowledge graphs each give small accuracy gains over a video-only baseline, and that per-category selection reaches 44.21% on the HD-EPIC VQA benchmark.