AI RESEARCH
Family Matters: A Systematic Study of Spatial vs. Frequency Masking for Continual Test-Time Adaptation
arXiv CS.CV
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ArXi:2512.08048v3 Announce Type: replace Recent continual test-time adaptation (CTTA) methods adopt masked image modeling to stabilize learning under distribution shift, yet each treats its masking family F as a fixed design choice and innovates exclusively along the selection strategy S, leaving the family axis underexplored. We present a systematic empirical study that isolates this axis.