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AquaProbe: A Method for Adapting Underwater Vision Models by Allocating LoRA Rank According to Water Type

AquaProbe proposes an underwater image adaptation method for frozen vision models: it measures how domain differences are distributed across encoder depths using paired clean images and physically rendered images, then allocates a fixed LoRA rank budget according to that distribution.

Part of the event: AquaProbe: Allocating LoRA Rank by Water Type for Underwater Visual Adaptation

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