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Found 3 papers, 1 papers with code
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets
Third, variable rate quantization is used also for the hyper latent.
Learned Disentangled Latent Representations for Scalable Image Coding for Humans and Machines
As an increasing amount of image and video content will be analyzed by machines, there is demand for a new codec paradigm that is capable of compressing visual input primarily for the purpose of computer vision inference, while secondarily supporting input reconstruction.
Frequency-aware Learned Image Compression for Quality Scalability
Spatial frequency analysis and transforms serve a central role in most engineered image and video lossy codecs, but are rarely employed in neural network (NN)-based approaches.
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