{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/synthetic-occlusion-augmentation-with","title":"Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation","arxiv_id":"1809.04987","date":"2018-09-13","proceeding":null,"authors":["István Sárándi","Timm Linder","Kai O. Arras","Bastian Leibe"],"abstract":"In this paper we present our winning entry at the 2018 ECCV PoseTrack\nChallenge on 3D human pose estimation. Using a fully-convolutional backbone\narchitecture, we obtain volumetric heatmaps per body joint, which we convert to\ncoordinates using soft-argmax. Absolute person center depth is estimated by a\n1D heatmap prediction head. The coordinates are back-projected to 3D camera\nspace, where we minimize the L1 loss. Key to our good results is the training\ndata augmentation with randomly placed occluders from the Pascal VOC dataset.\nIn addition to reaching first place in the Challenge, our method also surpasses\nthe state-of-the-art on the full Human3.6M benchmark among methods that use no\nadditional pose datasets in training. Code for applying synthetic occlusions is\navailabe at https://github.com/isarandi/synthetic-occlusion.","url_abs":"http://arxiv.org/abs/1809.04987v3","url_pdf":"http://arxiv.org/pdf/1809.04987v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"synthetic-occlusion-augmentation-with","repo_url":"https://github.com/isarandi/synthetic-occlusion","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"3d-human-pose-estimation","task_name":"3D Human Pose Estimation"},{"task_slug":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"}],"methods":[{"method_slug":"heatmap","method_name":"Heatmap"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1809.04987","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}