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The comparison of standard convolution and depthwise separable convolution is shown to the right.\r\n\r\nCredit: [Depthwise Convolution Is All You Need for Learning Multiple Visual Domains](https://paperswithcode.com/paper/depthwise-convolution-is-all-you-need-for)","description_state":"present","introduced_year":null,"introduced_by":{"title":"Xception: Deep Learning With Depthwise Separable Convolutions","paper":"/paper/xception-deep-learning-with-depthwise-1","first_author":"Francois Chollet","n_authors":1,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/xception-deep-learning-with-depthwise-1"},"source":{"url":"http://openaccess.thecvf.com/content_cvpr_2017/html/Chollet_Xception_Deep_Learning_CVPR_2017_paper.html","title":"Xception: Deep Learning With Depthwise Separable 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