{"url":"/method/pp-yolov2","slug":"pp-yolov2","name":"PP-YOLOv2","full_name":"PP-YOLOv2","full_name_withheld":false,"description_markdown":"**PP-YOLOv2** is an object detector that extends upon [PP-YOLO](https://www.paperswithcode.com/method/pp-yolo) with several refinements:\r\n\r\n- A [Path Aggregation Network](https://paperswithcode.com/method/pafpn) is included for the FPN to compose bottom-up paths.\r\n- [Mish Activation functions](https://paperswithcode.com/method/mish) are used.\r\n- The input size is expanded.\r\n- An IoU aware branch is calculated with a soft label format.","description_state":"present","introduced_year":null,"introduced_by":{"title":"PP-YOLOv2: A Practical Object Detector","paper":"/paper/pp-yolov2-a-practical-object-detector","first_author":"Xin Huang","n_authors":13,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/pp-yolov2-a-practical-object-detector"},"source":{"url":"https://arxiv.org/abs/2104.10419v1","title":"PP-YOLOv2: A Practical Object Detector","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":2,"archive_num_papers":2,"papers_newest_first":[{"paper":"/paper/pp-yoloe-an-evolved-version-of-yolo","title":"PP-YOLOE: An evolved version of YOLO","date":"2022-03-30","arxiv_id":"2203.16250","n_code_links":8,"syntology":{"ran":5,"of":27,"unverified":22,"pointer_only":0}},{"paper":"/paper/pp-yolov2-a-practical-object-detector","title":"PP-YOLOv2: A Practical Object Detector","date":"2021-04-21","arxiv_id":"2104.10419","n_code_links":1,"syntology":null}],"papers_shown":2,"tasks":[{"task":"/task/real-time-object-detection","name":"Real-Time Object Detection","papers":2},{"task":"/task/2d-object-detection","name":"2D Object Detection","papers":1},{"task":"/task/dense-object-detection","name":"Dense Object Detection","papers":1},{"task":"/task/multi-object-tracking","name":"Multi-Object Tracking","papers":1},{"task":"/task/multiple-object-tracking","name":"Multiple Object Tracking","papers":1},{"task":"/task/object","name":"Object","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/online-multi-object-tracking","name":"Online Multi-Object Tracking","papers":1}],"tasks_shown":8,"n_tasks":8,"usage_by_year":[{"year":"2021","papers":1},{"year":"2022","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/pp-yolov2"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}