{"url":"/method/tinaface","slug":"tinaface","name":"TinaFace","full_name":"TinaFace","full_name_withheld":false,"description_markdown":"**TinaFace** is a type of face detection method that is based on generic object detection. It consists of (a) Feature Extractor: [ResNet](https://paperswithcode.com/method/resnet)-50 and 6 level [Feature Pyramid Network](https://www.paperswithcode.com/method/fpn) to extract the multi-scale features of input image; (b) an Inception block to enhance receptive field; (c) Classification Head: 5 layers [FCN](https://paperswithcode.com/method/fcn) for classification of anchors; (d) Regression Head: 5 layers [FCN](https://paperswithcode.com/method/fcn) for regression of anchors to ground-truth objects boxes; (e) IoU Aware Head: a single convolutional layer for IoU prediction.","description_state":"present","introduced_year":null,"introduced_by":{"title":"TinaFace: Strong but Simple Baseline for Face Detection","paper":"/paper/tinaface-strong-but-simple-baseline-for-face","first_author":"Yanjia Zhu","n_authors":5,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/tinaface-strong-but-simple-baseline-for-face"},"source":{"url":"https://arxiv.org/abs/2011.13183v3","title":"TinaFace: Strong but Simple Baseline for Face 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":"Face Detection Models","url":"/methods/category/face-detection-models","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":"/paper/sample-and-computation-redistribution-for","title":"Sample and Computation Redistribution for Efficient Face Detection","date":"2021-05-10","arxiv_id":"2105.04714","n_code_links":8,"syntology":{"ran":3,"of":7,"unverified":4,"pointer_only":0}},{"paper":"/paper/tinaface-strong-but-simple-baseline-for-face","title":"TinaFace: Strong but Simple Baseline for Face Detection","date":"2020-11-26","arxiv_id":"2011.13183","n_code_links":2,"syntology":null}],"papers_shown":2,"tasks":[{"task":"/task/face-detection","name":"Face Detection","papers":2},{"task":"/task/data-augmentation","name":"Data Augmentation","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/occluded-face-detection","name":"Occluded Face Detection","papers":1},{"task":"/task/object-detection-1","name":"object-detection","papers":1}],"tasks_shown":5,"n_tasks":5,"usage_by_year":[{"year":"2020","papers":1},{"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/tinaface"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}