Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency
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Despite the fast progress of deep learning, one standing challenge is the gap of the observed training samples and the underlying true distribution. There are multiple reasons for the causing of this gap e.g., sampling bias, noise etc. In the era of foundation... ...