Backpropagation remains the dominant training paradigm, using backward gradients and local updates that can suffer from vanishing or exploding gradients in deep networks. Although the Forward-Forward algorithm avoids conventional backpropagation, it remains mainly local or layer-wise, motivating global whole-network le...
Yong-Fei Guo, Xuan Sun, Ang-Jin Li et al.· 0 citations
Interactive scene exploration requires frequent view updates, although small camera motions preserve much of the visible content. Conventional 3D Gaussian Splatting nevertheless renders each target view, leaving this image overlap unexploited. Reusing rendered images offers an alternative. Geometric warping alone canno...
PP-Net, a hybrid physical-prior neural network for biomedical scattered light removal, is proposed and demonstrated that it provides an effective and deployable solution for microscopic imaging, endoscopic inspection, and edge-assisted biomedical analysis in IoMT scenarios.
Yong-Fei Guo, Ting-Jin Chu, Meng-Zhuo Liu et al.· 0 citations
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