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We stack the convolved outputs together.\r\n\r\nImage Credit: [Chi-Feng Wang](https://towardsdatascience.com/a-basic-introduction-to-separable-convolutions-b99ec3102728)","description_state":"present","introduced_year":2016,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":null,"title":null,"url_on_a_paper_host":false},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Convolutions","url":"/methods/category/convolutions","pwc_aliases":[]}],"n_papers_tagged":1321,"archive_num_papers":1321,"papers_newest_first":[{"paper":null,"title":"Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection","date":"2025-06-14","arxiv_id":"2506.14834","n_code_links":0,"syntology":null},{"paper":"/paper/efficientfer-efficientnetv2-based-deep","title":"EfficientFER: EfficientNetv2 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