An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques

Research article (Applied Intelligence, 2019) · cited 32× · AI/ML
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An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques

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An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-image-classification-method-for-shallow-densely-connected-convolution-networks-through-squeezing-and-splitt
MLA “An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-image-classification-method-for-shallow-densely-connected-convolution-networks-through-squeezing-and-splitt.
BibTeX @misc{4ortxyz_an-effective-image-classification-method-for-shallow-densely-connected-convolution-networks-through-squeezing-and-splitt_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective image classification method for shallow densely connected convolution networks through squeezing and splitting techniques}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-image-classification-method-for-shallow-densely-connected-convolution-networks-through-squeezing-and-splitt}, note = {Accessed: 2026-05-24}}
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