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Methods › Computer Vision › Region Proposal › RPN

Region Proposal Network

RPN

1,045 papers tagged archive 2025-07-28

Introduced by Shaoqing Ren et al. in Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

A Region Proposal Network, or RPN, is a fully convolutional network that simultaneously predicts object bounds and objectness scores at each position. The RPN is trained end-to-end to generate high-quality region proposals. RPN and algorithms like Fast R-CNN can be merged into a single network by sharing their convolutional features - using the recently popular terminology of neural networks with attention mechanisms, the RPN component tells the unified network where to look.

RPNs are designed to efficiently predict region proposals with a wide range of scales and aspect ratios. RPNs use anchor boxes that serve as references at multiple scales and aspect ratios. The scheme can be thought of as a pyramid of regression references, which avoids enumerating images or filters of multiple scales or aspect ratios.

PaperSource

Papers archive 2025-07-28

30 shown of 1,045, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 505 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Object Detection501
object-detection458
Object282
Semantic Segmentation235
Instance Segmentation201
Segmentation160
Region Proposal91
Image Classification56
Transfer Learning42
General Classification39
Data Augmentation37
image-classification36
Classification31
Deep Learning31
regression29
Autonomous Driving27
GPU26
Decoder24
Pose Estimation24
Object Recognition22

Usage over time archive 2025-07-28

Papers per year tagged with RPN: 2015 to 2025, peak 189 189 0 2015: 5 papers 2015 2016: 13 papers 2016 2017: 41 papers 2017 2018: 98 papers 2018 2019: 152 papers 2019 2020: 177 papers 2020 2021: 189 papers 2021 2022: 124 papers 2022 2023: 107 papers 2023 2024: 98 papers 2024 2025: 41 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (1,045 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Region Proposal

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