{"url":"/method/residual-srm","slug":"residual-srm","name":"Residual SRM","full_name":"Residual SRM","full_name_withheld":false,"description_markdown":"A **Residual SRM** is a module for convolutional neural networks that uses a [Style-based Recalibration Module](https://paperswithcode.com/method/style-based-recalibration-module) within a [residual block](https://paperswithcode.com/method/residual-block) like structure. The Style-based Recalibration Module (SRM) adaptively recalibrates intermediate feature maps by exploiting their styles.","description_state":"present","introduced_year":null,"introduced_by":{"title":"SRM : A Style-based Recalibration Module for Convolutional Neural Networks","paper":"/paper/srm-a-style-based-recalibration-module-for","first_author":"HyunJae Lee","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/srm-a-style-based-recalibration-module-for"},"source":{"url":"http://arxiv.org/abs/1903.10829v1","title":"SRM : A Style-based Recalibration Module for Convolutional Neural Networks","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/EvgenyKashin/SRMnet/blob/a7ebdbe47a489c3e604ef44a84d361ef7b679e17/models/layer_blocks.py#L27","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Image Model Blocks","url":"/methods/category/image-model-blocks","pwc_aliases":[]},{"area":"General","area_id":"general","collection":"Skip Connection Blocks","url":"/methods/category/skip-connection-blocks","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/srm-a-style-based-recalibration-module-for","title":"SRM : A Style-based Recalibration Module for Convolutional Neural Networks","date":"2019-03-26","arxiv_id":"1903.10829","n_code_links":1,"syntology":{"ran":3,"of":3,"unverified":0,"pointer_only":2}}],"papers_shown":1,"tasks":[{"task":"/task/image-classification","name":"Image Classification","papers":1},{"task":"/task/style-transfer","name":"Style Transfer","papers":1}],"tasks_shown":2,"n_tasks":2,"usage_by_year":[{"year":"2019","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/residual-srm"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}