Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation

Research article (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022) · cited 22× · AI/ML
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Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation

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Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation. Retrieved May 24, 2026, from https://4ort.xyz/entity/tight-compression-compressing-cnn-through-fine-grained-pruning-and-weight-permutation-for-efficient-implementation
MLA “Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tight-compression-compressing-cnn-through-fine-grained-pruning-and-weight-permutation-for-efficient-implementation.
BibTeX @misc{4ortxyz_tight-compression-compressing-cnn-through-fine-grained-pruning-and-weight-permutation-for-efficient-implementation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation}}, year = {2026}, url = {https://4ort.xyz/entity/tight-compression-compressing-cnn-through-fine-grained-pruning-and-weight-permutation-for-efficient-implementation}, note = {Accessed: 2026-05-24}}
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