{"url":"/method/cpn","slug":"cpn","name":"CPN","full_name":"Contour Proposal Network","full_name_withheld":false,"description_markdown":"The Contour Proposal Network (CPN) detects possibly overlapping objects in an image while simultaneously fitting pixel-precise closed object contours. The CPN can incorporate state of the art object detection architectures as backbone networks into a fast single-stage instance segmentation model that can be trained end-to-end.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Contour Proposal Networks for Biomedical Instance Segmentation","paper":"/paper/contour-proposal-networks-for-biomedical","first_author":"Eric Upschulte","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/contour-proposal-networks-for-biomedical"},"source":{"url":"https://arxiv.org/abs/2104.03393v1","title":"Contour Proposal Networks for Biomedical Instance Segmentation","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/FZJ-INM1-BDA/celldetection","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Computer Vision","area_id":"computer-vision","collection":"One-Stage Object Detection Models","url":"/methods/category/one-stage-object-detection-models","pwc_aliases":[]},{"area":"Computer Vision","area_id":"computer-vision","collection":"Instance Segmentation Models","url":"/methods/category/instance-segmentation-models","pwc_aliases":[]},{"area":"Computer Vision","area_id":"computer-vision","collection":"Object Detection Models","url":"/methods/category/object-detection-models","pwc_aliases":[]}],"n_papers_tagged":14,"archive_num_papers":14,"papers_newest_first":[{"paper":null,"title":"Colored Petri Nets for Modeling and Simulation of a Green Supply Chain System","date":"2024-06-07","arxiv_id":"2406.04694","n_code_links":0,"syntology":null},{"paper":null,"title":"CPN: Complementary Proposal Network for Unconstrained Text Detection","date":"2024-02-18","arxiv_id":"2402.11540","n_code_links":0,"syntology":null},{"paper":null,"title":"Formal Translation from Reversing Petri Nets to Coloured Petri Nets","date":"2023-11-01","arxiv_id":"2311.00629","n_code_links":0,"syntology":null},{"paper":"/paper/double-chain-constraints-for-3d-human-pose","title":"Double-chain Constraints for 3D Human Pose Estimation in Images and Videos","date":"2023-08-10","arxiv_id":"2308.05298","n_code_links":1,"syntology":null},{"paper":"/paper/convformer-parameter-reduction-in-transformer","title":"ConvFormer: Parameter Reduction in Transformer Models for 3D Human Pose Estimation by Leveraging Dynamic Multi-Headed Convolutional Attention","date":"2023-04-04","arxiv_id":"2304.02147","n_code_links":1,"syntology":null},{"paper":"/paper/uncertainty-aware-contour-proposal-networks","title":"Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images","date":"2022-11-30","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"title":"SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation","date":"2022-10-22","arxiv_id":"2210.12417","n_code_links":0,"syntology":null},{"paper":"/paper/contrastive-prototypical-network-with","title":"Contrastive Prototypical Network with Wasserstein Confidence Penalty","date":"2022-10-21","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/p-stmo-pre-trained-spatial-temporal-many-to","title":"P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation","date":"2022-03-15","arxiv_id":"2203.07628","n_code_links":1,"syntology":{"ran":9,"of":11,"unverified":2,"pointer_only":1}},{"paper":null,"title":"Visual Goal-Directed Meta-Learning with Contextual Planning Networks","date":"2021-11-18","arxiv_id":"2111.09908","n_code_links":0,"syntology":null},{"paper":"/paper/complementary-patch-for-weakly-supervised","title":"Complementary Patch for Weakly Supervised Semantic Segmentation","date":"2021-08-09","arxiv_id":"2108.03852","n_code_links":1,"syntology":{"ran":3,"of":15,"unverified":12,"pointer_only":0}},{"paper":null,"title":"Acyclic and Cyclic Reversing Computations in Petri Nets","date":"2021-08-04","arxiv_id":"2108.02167","n_code_links":0,"syntology":null},{"paper":null,"title":"Cascaded Prediction Network via Segment Tree for Temporal Video Grounding","date":"2021-06-19","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/contour-proposal-networks-for-biomedical","title":"Contour Proposal Networks for Biomedical Instance Segmentation","date":"2021-04-07","arxiv_id":"2104.03393","n_code_links":2,"syntology":null}],"papers_shown":14,"tasks":[{"task":"/task/segmentation","name":"Segmentation","papers":4},{"task":"/task/3d-human-pose-estimation","name":"3D Human Pose Estimation","papers":3},{"task":"/task/monocular-3d-human-pose-estimation","name":"Monocular 3D Human Pose Estimation","papers":3},{"task":"/task/pose-estimation","name":"Pose Estimation","papers":3},{"task":"/task/semantic-segmentation","name":"Semantic Segmentation","papers":3},{"task":"/task/cell-segmentation","name":"Cell Segmentation","papers":2},{"task":"/task/instance-segmentation","name":"Instance Segmentation","papers":2},{"task":"/task/object-detection","name":"Object Detection","papers":2},{"task":"/task/weakly-supervised-semantic-segmentation-1","name":"Weakly supervised Semantic Segmentation","papers":2},{"task":"/task/weakly-supervised-semantic-segmentation","name":"Weakly-Supervised Semantic Segmentation","papers":2},{"task":"/task/blood-cell-detection","name":"Blood Cell Detection","papers":1},{"task":"/task/cell-detection","name":"Cell Detection","papers":1},{"task":"/task/contrastive-learning","name":"Contrastive Learning","papers":1},{"task":"/task/denoising","name":"Denoising","papers":1},{"task":"/task/few-shot-learning","name":"Few-Shot Learning","papers":1},{"task":"/task/inductive-bias","name":"Inductive Bias","papers":1},{"task":"/task/management","name":"Management","papers":1},{"task":"/task/meta-learning","name":"Meta-Learning","papers":1},{"task":"/task/object","name":"Object","papers":1},{"task":"/task/real-time-object-detection","name":"Real-Time Object Detection","papers":1}],"tasks_shown":20,"n_tasks":30,"usage_by_year":[{"year":"2021","papers":5},{"year":"2022","papers":4},{"year":"2023","papers":3},{"year":"2024","papers":2}],"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/cpn"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}