{"url":"/method/efficientunet","slug":"efficientunet","name":"EfficientUNet++","full_name":"EfficientUNet++","full_name_withheld":false,"description_markdown":"Decoder architecture inspired on the [UNet++](https://paperswithcode.com/method/unet) structure and the [EfficientNet](https://paperswithcode.com/method/efficientnet) building blocks. Keeping the UNet++ structure, the EfficientUNet++ achieves higher performance and significantly lower computational complexity through two simple modifications:\r\n\r\n* Replaces the 3x3 convolutions of the UNet++ with residual bottleneck blocks with depthwise convolutions\r\n* Applies channel and spatial attention to the bottleneck feature maps using [concurrent spatial and channel squeeze & excitation (scSE)](https://paperswithcode.com/method/scse) blocks","description_state":"present","introduced_year":null,"introduced_by":{"title":"Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation","paper":"/paper/encoder-decoder-architectures-for-clinically","first_author":"João Lourenço Silva","n_authors":6,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/encoder-decoder-architectures-for-clinically"},"source":{"url":"https://arxiv.org/abs/2106.11447v1","title":"Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/jlcsilva/segmentation_models.pytorch/blob/53c7f956ca557eb2cf386d28faacadf30ce4d0e2/segmentation_models_pytorch/efficientunetplusplus/decoder.py#L85","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Semantic Segmentation Models","url":"/methods/category/semantic-segmentation-models","pwc_aliases":["segmentation-models"]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/encoder-decoder-architectures-for-clinically","title":"Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation","date":"2021-06-21","arxiv_id":"2106.11447","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/coronary-artery-segmentation","name":"Coronary Artery Segmentation","papers":1},{"task":"/task/decoder","name":"Decoder","papers":1},{"task":"/task/lesion-detection","name":"Lesion Detection","papers":1},{"task":"/task/segmentation","name":"Segmentation","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2021","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/efficientunet"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}