{"url":"/method/detnas","slug":"detnas","name":"DetNAS","full_name":"DetNAS","full_name_withheld":false,"description_markdown":"**DetNAS** is a [neural architecture search](https://paperswithcode.com/method/neural-architecture-search) algorithm for the design of better backbones for object detection. It is based on the technique of one-shot supernet, which contains all possible networks in the search space. The supernet is trained under the typical detector training schedule: ImageNet pre-training and detection fine-tuning. Then, the architecture search is performed on the trained supernet, using the detection task as the guidance. DetNAS uses evolutionary search as opposed to RL-based methods or gradient-based methods.","description_state":"present","introduced_year":null,"introduced_by":{"title":"DetNAS: Backbone Search for Object Detection","paper":"/paper/detnas-neural-architecture-search-on-object","first_author":"Yukang Chen","n_authors":6,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/detnas-neural-architecture-search-on-object"},"source":{"url":"https://arxiv.org/abs/1903.10979v4","title":"DetNAS: Backbone Search for Object Detection","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/megvii-model/DetNAS/tree/master/distributed_arch_search","code_snippet_url_on_a_code_host":true,"categories":[{"area":"General","area_id":"general","collection":"Neural Architecture Search","url":"/methods/category/neural-architecture-search","pwc_aliases":[]}],"n_papers_tagged":3,"archive_num_papers":3,"papers_newest_first":[{"paper":"/paper/sp-nas-serial-to-parallel-backbone-search-for","title":"SP-NAS: Serial-to-Parallel Backbone Search for Object Detection","date":"2020-06-01","arxiv_id":null,"n_code_links":6,"syntology":null},{"paper":"/paper/fast-neural-network-adaptation-via-parameter","title":"Fast Neural Network Adaptation via Parameter Remapping and Architecture Search","date":"2020-01-08","arxiv_id":"2001.02525","n_code_links":0,"syntology":{"ran":1,"of":2,"unverified":1,"pointer_only":0}},{"paper":"/paper/detnas-neural-architecture-search-on-object","title":"DetNAS: Backbone Search for Object Detection","date":"2019-03-26","arxiv_id":"1903.10979","n_code_links":2,"syntology":{"ran":0,"of":8,"unverified":8,"pointer_only":0}}],"papers_shown":3,"tasks":[{"task":"/task/architecture-search","name":"Neural Architecture Search","papers":3},{"task":"/task/object-detection","name":"Object Detection","papers":3},{"task":"/task/object-detection-1","name":"object-detection","papers":3},{"task":"/task/classification","name":"General Classification","papers":2},{"task":"/task/image-classification","name":"Image Classification","papers":2},{"task":"/task/image-classification","name":"image-classification","papers":2},{"task":"/task/object","name":"Object","papers":1},{"task":"/task/segmentation","name":"Segmentation","papers":1},{"task":"/task/semantic-segmentation","name":"Semantic Segmentation","papers":1}],"tasks_shown":9,"n_tasks":9,"usage_by_year":[{"year":"2019","papers":1},{"year":"2020","papers":2}],"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/detnas"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}