AINeutralarXiv – CS AI · 10h ago6/10
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A Projection-Based Surrogate Gradient Interpretation for Neural Codec Wrappers
Researchers propose a new interpretation of surrogate gradients for training neural codec wrappers, showing that the SCALED method can be understood as a first-order approximation of video codecs. The technique enables end-to-end learning of pre- and post-processing networks alongside conventional codecs, achieving significant compression improvements of up to 23.59% BD-Rate reduction on x264.