Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet [1] and Fast R-CNN [2] have reduced the running time of these detection networks, exposing region proposal computation as a bottleneck. In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals. An 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, which are used by Fast R-CNN for detection. We further merge RPN and Fast R-CNN 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. For the very deep VGG-16 model [3] , our detection system has a frame rate of 5 fps (including all steps) on a GPU, while achieving state-of-the-art object detection accuracy on PASCAL VOC 2007, 2012, and MS COCO datasets with only 300 proposals per image. In ILSVRC and COCO 2015 competitions, Faster R-CNN and RPN are the foundations of the 1st-place winning entries in several tracks. Code has been made publicly available.

Last synced 2026-08-22 14:19 UTC

• YOLO-RCHA: a gear defect detection method based on robust context-aware hybrid attention mechanism

  Nondestructive Testing And Evaluation 2026 · 0 citations

• YOLO-Based Object Localization and Classification in UAV Images Compressed by JPEG

  Computation 2026 · 0 citations

• Small-Target Traffic Sign Detection Method Based on Multi-Path Feature Aggregation and Attention Enhancement

  Technologies 2026 · 0 citations

• A Spatial Prior-Guided Feature Enhancement and Multi-Branch Complementary Learning Framework for Small Ship Detection in SAR Images

  Remote Sensing 2026 · 0 citations

• A Hybrid Autoencoder YOLO Framework with Spatial Regularization for Rapid Small Maritime Object Detection

  Journal of Imaging 2026 · 0 citations

• MonuSegFormer: A Hybrid Swin-Transformer Architecture for Semantic Segmentation of Moroccan Cultural Heritage Monuments

  Journal of Imaging 2026 · 0 citations

• DPFS-YOLO: Missed-Detection Alleviation and False-Detection Risk Suppression for Small Objects in Complex UAV Aerial Scenes

  Remote Sensing 2026 · 0 citations

• PSSANet: Phase-Sensitive and Scale-Adaptive Anchor-Free framework for Geospatial object detection

  Optics & Laser Technology 2026 · 0 citations

• Edge-Aware Attention with Shallow-Guided Fusion for Ship Detection in Remote Sensing

  Sensors 2026 · 0 citations

• A Lightweight RPR-DETR for Prohibited Item Detection in X-Ray Security Inspection Images

  Electronics 2026 · 0 citations

• HPSNet: A Three-Stage Enhanced YOLOv11 Detector for Person-Overboard Detection in Maritime UAV Imagery

  Journal of Marine Science and Engineering 2026 · 0 citations

• Detection of Symmetry-Breaking Insulator Defects via Asymmetric Direction-Aware YOLOv11

  Symmetry 2026 · 0 citations

• An Object Detection Method Based on Frequency-Band Enhancement and Multi-Scale Fusion

  Journal of Imaging 2026 · 0 citations

• DTKDP: A Dual Teacher Knowledge Distillation and Pruning Framework for Lightweight Oriented SAR Ship Detection

  Remote Sensing 2026 · 0 citations

• Star-IBR: Star-Shaped Iterative Box Refinement for Insulator Defect Localization

  Electronics 2026 · 0 citations

• BOM-YOLOv12n: A Lightweight Detection Model for Protective Equipment in Smart Construction Sites

  Electronics 2026 · 0 citations

• Symmetry-Guided YOLO11 for Mixed-Scale Safety Detection in Power-Line Work-at-Height Scenes

  Symmetry 2026 · 0 citations

• Deep Learning-Based Small-Object Detection in UAV Imagery: A Symmetry-Informed Review of Scale Variation and Scenario Constraints

  Symmetry 2026 · 0 citations

• A Kernel-Aware Regularization Model for Chromatic-Robust Detection: Analysis of Grayscale-to-RGB Generalization

  Journal of Imaging 2026 · 0 citations

• Steel surface defect detection based on dynamic receptive field and multi-scale features fusion

  Scientific Reports 2026 · 0 citations