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Moreover, occlusions are relevant for\nmotion segmentation and scene flow estimation. In this paper, we present an\nefficient learning-based approach to estimate occlusion areas jointly with\ndisparities or optical flow. The estimated occlusions and motion boundaries\nclearly improve over the state-of-the-art. Moreover, we present networks with\nstate-of-the-art performance on the popular KITTI benchmark and good generic\nperformance. Making use of the estimated occlusions, we also show improved\nresults on motion segmentation and scene flow estimation.","url_abs":"http://arxiv.org/abs/1808.01838v2","url_pdf":"http://arxiv.org/pdf/1808.01838v2.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":"occlusions-motion-and-depth-boundaries-with-a","repo_url":"https://github.com/FilippoAleotti/Dwarf-Tensorflow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"motion-segmentation","task_name":"Motion Segmentation"},{"task_slug":"optical-flow-estimation","task_name":"Optical Flow Estimation"},{"task_slug":"scene-flow-estimation","task_name":"Scene Flow Estimation"},{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1808.01838","atlas_url":"https://app.syntology.ai/?focus=1808.01838","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1808.01838"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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