{"url":"/method/pafnet","slug":"pafnet","name":"PAFNet","full_name":"Paddle Anchor Free Network","full_name_withheld":false,"description_markdown":"**PAFNet** is an anchor-free detector for object detection that removes pre-defined anchors and regresses the locations directly, which can achieve higher efficiency. The overall network is composed of a backbone, an up-sampling module, an AGS module, a localization branch and a regression branch. Specifically,  ResNet50-vd is chosen as the backbone for server side, and [MobileNetV3](https://paperswithcode.com/method/mobilenetv3) for mobile side. Besides, for mobile side, we replace traditional [convolution](https://paperswithcode.com/method/convolution) layers with lite convolution operators.","description_state":"present","introduced_year":null,"introduced_by":{"title":"PAFNet: An Efficient Anchor-Free Object Detector Guidance","paper":"/paper/pafnet-an-efficient-anchor-free-object","first_author":"Ying Xin","n_authors":8,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/pafnet-an-efficient-anchor-free-object"},"source":{"url":"https://arxiv.org/abs/2104.13534v1","title":"PAFNet: An Efficient Anchor-Free Object Detector Guidance","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":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/pafnet-an-efficient-anchor-free-object","title":"PAFNet: An Efficient Anchor-Free Object Detector Guidance","date":"2021-04-28","arxiv_id":"2104.13534","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":null,"name":"CPU","papers":1},{"task":null,"name":"GPU","papers":1},{"task":"/task/object","name":"Object","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/object-detection-1","name":"object-detection","papers":1}],"tasks_shown":5,"n_tasks":5,"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/pafnet"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}