{"url":"/method/rfp","slug":"rfp","name":"RFP","full_name":"Recursive Feature Pyramid","full_name_withheld":false,"description_markdown":"An **Recursive Feature Pyramid (RFP)** builds on top of the Feature Pyramid Networks ([FPN](https://paperswithcode.com/method/fpn)) by incorporating extra feedback connections from the FPN layers into the bottom-up backbone layers. Unrolling the recursive structure to a sequential implementation, we obtain a backbone for object detector that looks at the images twice or more. Similar to the cascaded detector heads in [Cascade R-CNN](https://paperswithcode.com/method/cascade-r-cnn) trained with more selective examples, an RFP recursively enhances FPN to generate increasingly powerful representations. Resembling Deeply-Supervised Nets, the feedback connections bring the features that directly receive gradients from the detector heads back to the low levels of the bottom-up backbone to speed up training and boost performance.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":"https://arxiv.org/abs/2006.02334v2","title":"DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution","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":"Feature Pyramid Blocks","url":"/methods/category/feature-pyramid-blocks","pwc_aliases":[]}],"n_papers_tagged":10,"archive_num_papers":null,"papers_newest_first":[{"paper":null,"title":"Graph Positional Encoding via Random Feature Propagation","date":"2023-03-06","arxiv_id":"2303.02918","n_code_links":0,"syntology":null},{"paper":null,"title":"Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation","date":"2022-10-02","arxiv_id":"2210.00489","n_code_links":0,"syntology":null},{"paper":null,"title":"Correcting motion induced fluorescence artifacts in two-channel neural imaging","date":"2022-04-26","arxiv_id":"2204.12595","n_code_links":0,"syntology":null},{"paper":"/paper/deepcsi-rethinking-wi-fi-radio-fingerprinting","title":"DeepCSI: Rethinking Wi-Fi Radio Fingerprinting Through MU-MIMO CSI Feedback Deep Learning","date":"2022-04-15","arxiv_id":"2204.07614","n_code_links":1,"syntology":null},{"paper":"/paper/automatic-speech-recognition-for-speech","title":"Automatic Speech Recognition for Speech Assessment of Persian Preschool Children","date":"2022-03-24","arxiv_id":"2203.12886","n_code_links":1,"syntology":null},{"paper":null,"title":"Low dosage 3D volume fluorescence microscopy imaging using compressive sensing","date":"2022-01-03","arxiv_id":"2201.00820","n_code_links":0,"syntology":null},{"paper":null,"title":"The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting","date":"2021-05-08","arxiv_id":"2105.03671","n_code_links":0,"syntology":null},{"paper":null,"title":"\"Cellular Network Densification Increases Radio-Frequency Pollution\": True or False?","date":"2020-10-02","arxiv_id":"2010.00933","n_code_links":0,"syntology":null},{"paper":null,"title":"An Interpretable Deep Learning System for Automatically Scoring Request for Proposals","date":"2020-08-05","arxiv_id":"2008.02347","n_code_links":0,"syntology":null},{"paper":"/paper/detectors-detecting-objects-with-recursive-1","title":"DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution","date":"2020-06-03","arxiv_id":"2006.02334","n_code_links":6,"syntology":{"ran":0,"of":4,"unverified":4,"pointer_only":0}}],"papers_shown":10,"tasks":[{"task":"/task/object","name":"Object","papers":2},{"task":"/task/segmentation","name":"Segmentation","papers":2},{"task":"/task/semantic-segmentation","name":"Semantic Segmentation","papers":2},{"task":"/task/3d-object-editing","name":"3D Object Editing","papers":1},{"task":"/task/automatic-speech-recognition-2","name":"Automatic Speech Recognition","papers":1},{"task":"/task/automatic-speech-recognition","name":"Automatic Speech Recognition (ASR)","papers":1},{"task":"/task/clone-detection","name":"Clone Detection","papers":1},{"task":"/task/compressive-sensing","name":"Compressive Sensing","papers":1},{"task":"/task/data-augmentation","name":"Data Augmentation","papers":1},{"task":"/task/graph-classification","name":"Graph Classification","papers":1},{"task":"/task/instance-segmentation","name":"Instance Segmentation","papers":1},{"task":"/task/nerf","name":"NeRF","papers":1},{"task":"/task/node-classification","name":"Node Classification","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/panoptic-segmentation","name":"Panoptic Segmentation","papers":1},{"task":"/task/scene-segmentation","name":"Scene Segmentation","papers":1},{"task":"/task/speech-recognition","name":"Speech Recognition","papers":1},{"task":"/task/tag","name":"TAG","papers":1},{"task":"/task/time-series","name":"Time Series Analysis","papers":1},{"task":"/task/two","name":"Vocal Bursts Valence Prediction","papers":1}],"tasks_shown":20,"n_tasks":22,"usage_by_year":[{"year":"2020","papers":3},{"year":"2021","papers":1},{"year":"2022","papers":5},{"year":"2023","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/rfp"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}