Rai Hisada

2 papers indexed

arxivcs.LG2026-07-06

FlatManifold: Robust Continual Learning under Severe Label Noise and Domain Shifts via Intrinsic Manifold Flattening

In non-stationary streaming environments, simultaneously adapting to complex, non-linear domain shifts via continual learning while mitigating the catastrophic effects of severe, uncalibrated label noise poses a fundamental mathematical challenge. In this paper, we propose \FlatM…

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arxivcs.ROcs.CV2026-07-06

SLAM: Structured and Localized Analytic Manifold Adaptation for Lifelong VPR

Kenta Tsukahara, Kanji Tanaka, Rai Hisada

Visual Place Recognition (VPR) in lifelong deployment requires continuous adaptation to new environments without catastrophic forgetting. In this paper, we propose SLAM, a Structured and Localized Analytic Manifold adaptation framework. Our framework elegantly unifies uncertainty…

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