A research repository for temporal grounding in industrial VLM, using small models (≤4B) to detect procedure deviations in factory ego videos, with a human-in-the-loop annotation and evaluation pipeline.
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No data
10
6
MIT
2026-07-19
It addresses a critical industrial safety problem by focusing on small, edge-deployable models and provides a reproducible benchmark with human-annotated factory videos, including an open-source annotation tool and comparative evaluation of multiple vision-language models.
作業動画が手順書（SOP）どおりかを、ローカルの小型VLM（Qwen3-VL / Apple Silicon）だけでチェックするデモ
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