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ReuScope: Auditing Data Reuse and Evaluation Sensitivity in Capsule Vision 2024

Paper recorded by Signals 4 on 2026-10-30 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-30 on arXiv · recorded by Signals 4 on 2026-11-02

Category: cs.CV · 计算机视觉 · first seen 2026-11-02

Abstract

We develop ReuScope, a protocol for auditing data reuse and evaluation sensitivity, using Capsule Vision 2024 as a case study. It combines measurements of data relationships with two comparisons: changing the evaluation population while holding predictions fixed, and changing training data while holding evaluation fixed. Byte-identical files cross the public training-validation boundary, and all 4

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#48 most recent of 710 cs.CV papers we have recorded · ↑ newer: Open-Weight MLLMs Cannot Compare What They Cannot Name · ↓ older: ObjectGuidedMap: An Object-Aware Model for Robust Bird's Eye View Map
Cite this page: ReuScope: Auditing Data Reuse and Evaluation Sensitivity in Capsule Vision 2024: the #48 most recent of 710 cs.CV papers we have recorded (as of 2026-10-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reuscope-auditing-data-reuse-and-evaluation-sensitivity-in-capsule-vision-2024.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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