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Curated list of papers and resources focused on neural compression, intended to keep pace with the anticipated surge of research in the recent years.
A PyTorch library and evaluation platform for end-to-end compression research
This repo provides a demo for the paper "Semantic-Aware Mixup for Domain Generalization" on the PACS dataset.
Bjontegaard metric calculation. Include BD-PSNR and BD-rate
Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021