{"url":"/method/disp-r-cnn","slug":"disp-r-cnn","name":"Disp R-CNN","full_name":"Disp R-CNN","full_name_withheld":false,"description_markdown":"**Disp R-CNN** is a 3D object detection system for stereo images. It utilizes an instance disparity estimation network (iDispNet) that predicts disparity only for pixels on objects of interest and learns a category-specific shape prior for more accurate disparity estimation. To address the challenge from scarcity of disparity annotation in training, a statistical shape model is used to generate dense disparity pseudo-ground-truth without the need of LiDAR point clouds.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation","paper":"/paper/disp-r-cnn-stereo-3d-object-detection-via","first_author":"Jiaming Sun","n_authors":7,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/disp-r-cnn-stereo-3d-object-detection-via"},"source":{"url":"https://arxiv.org/abs/2004.03572v1","title":"Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation","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":"3D Object Detection Models","url":"/methods/category/3d-object-detection-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/disp-r-cnn-stereo-3d-object-detection-via","title":"Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation","date":"2020-04-07","arxiv_id":"2004.03572","n_code_links":1,"syntology":{"ran":3,"of":3,"unverified":0,"pointer_only":0}}],"papers_shown":1,"tasks":[{"task":"/task/3d-object-detection","name":"3D Object Detection","papers":1},{"task":"/task/3d-object-detection-from-stereo-images","name":"3D Object Detection From Stereo Images","papers":1},{"task":"/task/disparity-estimation","name":"Disparity Estimation","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/vehicle-pose-estimation","name":"Vehicle Pose Estimation","papers":1},{"task":"/task/object-detection-1","name":"object-detection","papers":1}],"tasks_shown":6,"n_tasks":6,"usage_by_year":[{"year":"2020","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/disp-r-cnn"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}