Illustration of asymmetric convolution blocks. traditional 3 × 3 layer
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![](https://www.researchgate.net/publication/344620670/figure/fig2/AS:1005075577188352@1616640099117/Illustration-of-asymmetric-convolution-blocks-traditional-3-3-layer-is-replace-with.png)
![](https://www.researchgate.net/publication/344620670/figure/fig2/AS:1005075577188352@1616640099117/Illustration-of-asymmetric-convolution-blocks-traditional-3-3-layer-is-replace-with.png)
Illustration of asymmetric convolution blocks. traditional 3 × 3 layer
![](https://dfzljdn9uc3pi.cloudfront.net/2023/cs-1302/1/fig-2-full.png)
A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions [PeerJ]
![](https://static.hindawi.com/articles/jhe/volume-2019/8597606/figures/8597606.fig.001.jpg)
DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation
![](https://www.researchgate.net/profile/Dawei-Zhang-38/publication/343897336/figure/fig1/AS:936303805857794@1600243631659/The-overall-tracking-framework-of-the-proposed-HROM-The-left-figure-illustrates-our_Q320.jpg)
Dawei ZHANG, Ph.D, Zhejiang Normal University, Jinhua, Department of Computer Science
![](https://www.researchgate.net/publication/373135068/figure/tbl3/AS:11431281181642536@1692108200901/Comparison-with-other-mainstream-algorithms-on-the-TT100K-dataset_Q320.jpg)
Xiaowei HE, Zhejiang Normal University, Jinhua, Department of Computer
![](https://ars.els-cdn.com/content/image/1-s2.0-S0031320318302632-gr3.jpg)
Asymmetric 3D Convolutional Neural Networks for action recognition - ScienceDirect
![](https://i.ytimg.com/vi/PGFppp1mIsc/maxresdefault.jpg)
Asymmetric Convolution Block and Local/Global Context Optimization for Learned Image Compression
![](https://media.springernature.com/m685/springer-static/image/art%3A10.1186%2Fs42400-023-00176-7/MediaObjects/42400_2023_176_Fig10_HTML.png)
A deep learning aided differential distinguisher improvement framework with more lightweight and universality, Cybersecurity
![](https://www.researchgate.net/publication/344742484/figure/fig1/AS:948268775243796@1603096302297/The-architecture-of-MFFN_Q320.jpg)
Illustration of asymmetric convolution blocks. traditional 3 × 3 layer
![](https://www.researchgate.net/publication/368271216/figure/fig1/AS:11431281117852198@1675554767338/FSGFC-model-architectureIt-is-composed-of-feature-extraction-network-feature-supplement_Q320.jpg)
Zhonglong ZHENG, Zhejiang Normal University, Jinhua
![](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs11517-024-03052-9/MediaObjects/11517_2024_3052_Fig1_HTML.png)
ResDAC-Net: a novel pancreas segmentation model utilizing residual double asymmetric spatial kernels
![](https://www.researchgate.net/publication/368271216/figure/fig3/AS:11431281117835749@1675554767626/Feature-supplement-module-The-global-feature-comparison-function-is-used-to-extract-the_Q320.jpg)
Xiaowei HE, Zhejiang Normal University, Jinhua, Department of Computer
![](https://www.researchgate.net/profile/Dawei-Zhang-38/publication/344620670/figure/fig1/AS:1005075577204736@1616640099067/Illustration-of-the-proposed-fusion-strategy-during-tracking-element-wise-multiplication_Q320.jpg)
Illustration of asymmetric convolution blocks. traditional 3 × 3 layer
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