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RepProbe: Can Video Language Models Count Repeated Actions? A Diagnostic Benchmark

Paper recorded by Signals 4 on 2026-10-13 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-13 on arXiv · recorded by Signals 4 on 2026-10-14

Category: cs.CV · 计算机视觉 · first seen 2026-10-14

Abstract

Repetition counting requires identifying and enumerating action cycles over time. While state-of-the-art video language models describe actions fluently, they fail to reliably count how many times an action repeats. To investigate this limitation, we introduce RepProbe, a benchmark of 42K real and synthetic video clips containing exactly k in [1, 20] complete repetitions, with controls for clip po

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#284 most recent of 756 cs.CV papers we have recorded · ↑ newer: WorldRecon: Generative Multi-View Mesh Reconstruction for Large-Scale · ↓ older: Plan-Bench: Can Existing VLMs Go Well Beyond Perception to Reason and
Cite this page: RepProbe: Can Video Language Models Count Repeated Actions? A Diagnostic Benchmark: the #284 most recent of 756 cs.CV papers we have recorded (as of 2026-10-13). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/repprobe-can-video-language-models-count-repeated-actions-a-diagnostic-benchmark.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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