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Sparse convolutional neural network acceleration with lossless input feature map compression for resource‐constrained systems

Research article (IET Computers & Digital Techniques, 2021) · cited 14× · AI/ML
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Sparse convolutional neural network acceleration with lossless input feature map compression for resource‐constrained systems is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Sparse convolutional neural network acceleration with lossless input feature map compression for resource‐constrained systems. Retrieved October 20, 2026, from https://4ort.xyz/entity/sparse-convolutional-neural-network-acceleration-with-lossless-input-feature-map-compression-for-resourceconstrained-sys
MLA “Sparse convolutional neural network acceleration with lossless input feature map compression for resource‐constrained systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/sparse-convolutional-neural-network-acceleration-with-lossless-input-feature-map-compression-for-resourceconstrained-sys.
BibTeX @misc{4ortxyz_sparse-convolutional-neural-network-acceleration-with-lossless-input-feature-map-compression-for-resourceconstrained-sys_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sparse convolutional neural network acceleration with lossless input feature map compression for resource‐constrained systems}}, year = {2026}, url = {https://4ort.xyz/entity/sparse-convolutional-neural-network-acceleration-with-lossless-input-feature-map-compression-for-resourceconstrained-sys}, note = {Accessed: 2026-10-20}}
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