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Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation

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

Episodic test-time adaptation resets a frozen segmenter to source weights $M_0$ on each case and adapts for a fixed step count. A fixed horizon conflates a cohort-level question, how far to adapt, with an irreducibly per-case one, whether this case should be adapted at all. Cohort means hide that decision: on cross-vendor cardiac MRI the mean $Δ$Dice from adaptation is statistically indistinguisha

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#4 most recent of 237 cs.CV papers we have recorded · ↑ newer: FlowSGS: Improving Flow Matching Priors for Inverse Imaging with Stoch · ↓ older: Towards Scaling Marine Perception with Synthetic Data
Cite this page: Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation: the #4 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/should-this-case-be-adapted-prediction-fragmentation-controls-test-time-adaptati.html
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