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SAP-Depth: Scene-Adaptive Probability Framework for Self-Supervised Monocular Depth Estimation
Self-supervised monocular depth estimation remains challenging due to the loss of fine-grained details and limited adaptability to varying scene structures. In this paper, we propose SAP-Depth, a novel architecture based on Scene-Adaptive Probabilistic. Unlike traditional methods, we introduce a Dyn
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