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Found 5 papers, 4 papers with code
Diverse Representation Embedding for Lifelong Person Re-Identification
KU strategy enhances the adaptive learning ability of learner models for new information under the adjustment model prior, and KP strategy preserves old knowledge operated by representation-level alignment and logit-level supervision in limited old task datasets while guaranteeing the adaptive learning information capacity of the LReID model.
Residual Denoising Diffusion Models
We propose residual denoising diffusion models (RDDM), a novel dual diffusion process that decouples the traditional single denoising diffusion process into residual diffusion and noise diffusion.
A Shadow Imaging Bilinear Model and Three-branch Residual Network for Shadow Removal
Thus, our network ensures the fidelity of nonshadow areas and restores the light intensity of shadow areas through three-branch collaboration.
A Decoupled Multi-Task Network for Shadow Removal
Last, these features are converted to a target shadow-free image, affiliated shadow matte, and shadow image, supervised by multi-task joint loss functions.
Local Label Point Correction for Edge Detection of Overlapping Cervical Cells
The qualitative and quantitative experimental results show that our LLPC can improve the quality of manual labels and the accuracy of overlapping cell edge detection.
