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Found 4 papers, 1 papers with code
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.
End-to-end optimized image compression for multiple machine tasks
An increasing share of captured images and videos are transmitted for storage and remote analysis by computer vision algorithms, rather than to be viewed by humans.
End-to-end optimized image compression for machines, a study
An increasing share of image and video content is analyzed by machines rather than viewed by humans, and therefore it becomes relevant to optimize codecs for such applications where the analysis is performed remotely.
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
This paper presents CompressAI, a platform that provides custom operations, layers, models and tools to research, develop and evaluate end-to-end image and video compression codecs.
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