PIE-V is a framework that injects plausible mistakes and corrections into egocentric procedural videos via psychology-informed planning and LLM-assisted video synthesis, paired with a nine-metric human rubric for benchmarking.
Every mistake counts in assembly.ArXiv, abs/2307.16453
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ESTANet is a lightweight framework that detects online errors in procedural videos by aggregating prediction inconsistencies among standard and error-sensitive action detectors.
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How to Correctly Make Mistakes: A Framework for Constructing and Benchmarking Mistake Aware Egocentric Procedural Videos
PIE-V is a framework that injects plausible mistakes and corrections into egocentric procedural videos via psychology-informed planning and LLM-assisted video synthesis, paired with a nine-metric human rubric for benchmarking.
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ESTANet: Efficient Online Error Detection in Procedural Videos via Prediction Inconsistency
ESTANet is a lightweight framework that detects online errors in procedural videos by aggregating prediction inconsistencies among standard and error-sensitive action detectors.