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eess.IV2024
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
Yichi Zhang, Zhihao Duan, Ming Lu +3
While convolution and self-attention are extensively used in learned image compression (LIC) for transform coding, this paper proposes an alternative called Contextual Clustering b…
eess.IV2023
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression
Yun Ye, Yanjie Pan, Qually Jiang +3
Over-fitting-based image compression requires weights compactness for compression and fast convergence for practical use, posing challenges for deep convolutional neural networks (…