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PROVIA: Procedure State Tracking for Online Mistake Detection in Egocentric Videos

Paper recorded by Signals 4 on 2026-09-17 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-17 on arXiv · recorded by Signals 4 on 2026-09-18

Category: cs.CV · 计算机视觉 · first seen 2026-09-18

Abstract

An assistant watching egocentric video should notice a mistake from past frames alone, before the next step begins, and keep working once the person recovers. A mistake changes the state of the work, so every later step has to be read against what was done rather than against the plan. The first-mistake protocol that current online methods report on cuts each recording at its first mistake, so a f

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#10 most recent of 237 cs.CV papers we have recorded · ↑ newer: DexTouch-WM: Learning Action-Conditioned Tactile World Models from Hum · ↓ older: Refinement Is Inherently Editable: Training-Free Prompt-to-Prompt Imag
Cite this page: PROVIA: Procedure State Tracking for Online Mistake Detection in Egocentric Videos: the #10 most recent of 237 cs.CV papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/provia-procedure-state-tracking-for-online-mistake-detection-in-egocentric-video.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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