{"url":"/method/u2-net","slug":"u2-net","name":"U2-Net","full_name":"U2-Net","full_name_withheld":false,"description_markdown":"**U2-Net** is a two-level nested U-structure architecture that is designed for salient object detection (SOD).  The architecture allows the network to go deeper, attain high resolution, without significantly increasing the memory and computation cost. This is achieved by a nested U-structure: on the bottom level, with a novel ReSidual U-block (RSU) module, which is able to extract intra-stage multi-scale features without degrading the feature map resolution; on the top level, there is a [U-Net](https://paperswithcode.com/method/u-net) like structure, in which each stage is filled by a RSU block.","description_state":"present","introduced_year":null,"introduced_by":{"title":"U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection","paper":"/paper/u-2-net-going-deeper-with-nested-u-structure","first_author":"Xuebin Qin","n_authors":6,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/u-2-net-going-deeper-with-nested-u-structure"},"source":{"url":"https://arxiv.org/abs/2005.09007v3","title":"U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"Object Detection Models","url":"/methods/category/object-detection-models","pwc_aliases":[]}],"n_papers_tagged":3,"archive_num_papers":3,"papers_newest_first":[{"paper":null,"title":"MATT-GS: Masked Attention-based 3DGS for Robot Perception and Object Detection","date":"2025-03-25","arxiv_id":"2503.19330","n_code_links":0,"syntology":null},{"paper":"/paper/skdcgn-source-free-knowledge-distillation-of","title":"SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks using cGANs","date":"2022-08-08","arxiv_id":"2208.04226","n_code_links":1,"syntology":null},{"paper":"/paper/u-2-net-going-deeper-with-nested-u-structure","title":"U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection","date":"2020-05-18","arxiv_id":"2005.09007","n_code_links":29,"syntology":{"ran":4,"of":42,"unverified":38,"pointer_only":2}}],"papers_shown":3,"tasks":[{"task":"/task/object-detection","name":"Object Detection","papers":2},{"task":"/task/3dgs","name":"3DGS","papers":1},{"task":"/task/dichotomous-image-segmentation","name":"Dichotomous Image Segmentation","papers":1},{"task":null,"name":"GPU","papers":1},{"task":"/task/image-classification","name":"Image Classification","papers":1},{"task":"/task/knowledge-distillation","name":"Knowledge Distillation","papers":1},{"task":"/task/object-recognition","name":"Object Recognition","papers":1},{"task":"/task/salient-object-detection","name":"RGB Salient Object Detection","papers":1},{"task":"/task/ssim","name":"SSIM","papers":1},{"task":"/task/saliency-detection","name":"Saliency Detection","papers":1},{"task":"/task/salient-object-detection-1","name":"Salient Object Detection","papers":1},{"task":"/task/transfer-learning","name":"Transfer Learning","papers":1},{"task":null,"name":"counterfactual","papers":1},{"task":"/task/image-classification","name":"image-classification","papers":1},{"task":"/task/object-detection-1","name":"object-detection","papers":1}],"tasks_shown":15,"n_tasks":15,"usage_by_year":[{"year":"2020","papers":1},{"year":"2022","papers":1},{"year":"2025","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/u2-net"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}