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A Contrastive Diffusion-based Network (CDNet) for Time Series . . . To address these limitations, we propose CDNet, a Contrastive Diffusion-based Network that enhances existing classifiers by generating informative positive and negative samples via a learned diffusion process
CDNet:空间向量用于双视图对应学习的研究 framework called Context Depth Net (CDNet) to accurately identify inliers and recover camera poses We extract directional information from corresponding points as a cue to guide the pruning process, and utilize vector fields to better mine the deep spatial information between correspond-ences