R CNN

R-CNN (Regions with Convolutional Neural Networks) is a two-stage object detection framework that first proposes regions of interest (RoIs) and then classifies and refines them. Current research focuses on improving R-CNN's performance and efficiency across diverse applications, including 3D object detection, instance segmentation, and various specialized tasks like building outline extraction and cell segmentation, often employing architectures like Faster R-CNN and Mask R-CNN, and incorporating techniques such as transfer learning and transformer networks. These advancements are significantly impacting fields ranging from autonomous driving and remote sensing to medical image analysis and agricultural technology by enabling more accurate and efficient object detection in complex scenarios.

Papers

November 3, 2024

Polar R-CNN: End-to-End Lane Detection with Fewer Anchors
Shengqi Wang, Junmin Liu, Xiangyong Cao, Zengjie Song, Kai Sun
Autonomous Driving Lane Detection R CNN Visual Information Anchor Dense Traffic Lane Detection Benchmark

October 20, 2024

YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Mark Liao
Object Detection Model R CNN YOLO Shake Hand YOLO Model YOLO Ant

August 28, 2024

Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection
Sondos Mohamed, Walter Zimmer, Ross Greer, Ahmed Alaaeldin Ghita, Modesto Castrillón-Santana, Mohan Trivedi, Alois Knoll, Salvatore Mario Carta, Mirko Marras
Transfer Learning Monocular 3D Object Detection Monocular Image R CNN Traffic Rule Real World Scene Robust Feature

July 20, 2024

PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction
Weiqin Jiao, Claudio Persello, George Vosselman
R CNN Polygonal Building Building Polygon

June 9, 2024

A DeNoising FPN With Transformer R-CNN for Tiny Object Detection
Hou-I Liu, Yu-Wen Tseng, Kai-Cheng Chang, Pin-Jyun Wang, Hong-Han Shuai, Wen-Huang Cheng
R CNN Denoising Network CNN Transformer Tiny Object Detection

May 23, 2024

Real Time Deep Learning Weapon Detection Techniques for Mitigating Lone Wolf Attacks
Kambhatla Akhila, Khaled R Ahmed
Deep Learning Object Detector R CNN Faster RCNN Weapon Detection

April 28, 2024

FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method
Yanbing Bai, Siao Li, Rui-Yang Ju, Zihao Yang, Jinze Yu, Jen-Shiun Chiang
Deep Learning Object Detection Synthetic Aperture Radar Deep Learning System R CNN Vessel Detection

April 25, 2024

Self-Balanced R-CNN for Instance Segmentation
Leonardo Rossi, Akbar Karimi, Andrea Prati
Instance Segmentation R CNN ROI Extraction

March 27, 2024

BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection
Changshun Wu, Weicheng He, Chih-Hong Cheng, Xiaowei Huang, Saddek Bensalem
Deep Learning Object Detection Distribution Detection R CNN Art Out of Distribution Detection Box Supervised

February 12, 2024

ClusterTabNet: Supervised clustering method for table detection and table structure recognition
Marek Polewczyk, Marco Spinaci
Deep Learning Based R CNN Table Structure Recognition Table Detection OCR Annotation Transformer Encoder Model Supervised Clustering

January 28, 2024

Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images
Johannes Raufeisen, Kunpeng Xie, Fabian Hörst, Till Braunschweig, Jianning Li, Jens Kleesiek, Rainer Röhrig, Jan Egger, Bastian Leibe, Frank Hölzle, Alexander Hermans, Behrus Puladi
Synthetic Dataset Cell Segmentation R CNN Brightfield Image

December 18, 2023

A Multimodal Approach for Advanced Pest Detection and Classification
Jinli Duan, Haoyu Ding, Sung Kim
Classification Code Multimodal Approach R CNN Pest Detection Pest Identification

December 1, 2023

Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images
Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir
Visually Rich Document R CNN Table Structure Recognition

November 1, 2023

Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
Min Jae Jung, Seung Dae Han, Joohee Kim
Zero Shot Classification Shot Object Detection R CNN Analytic Score

October 26, 2023

Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning
Conor Nixon, Zachary Yahn, Ethan Duncan, Ian Neidel, Alyssa Mills, Benoît Seignovert, Andrew Larsen, Kathryn Gansler, Charles Liles, Catherine Walker, Douglas Trent, John Santerre
Machine Learning Convolutional Neural Network Classification Code Feature Extraction Image Datasets R CNN Feature Detection

October 7, 2023

How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty
Denis Mbey Akola, Gianni Franchi
High Uncertainty Anticipation Diverse Ensemble R CNN Faster R CNN Two Stage Object

September 4, 2023

Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework
Anju Rani, Daniel O. Arroyo, Petar Durdevic
Defect Detection R CNN Synthetic Fibre Rope Detectron2 Framework

August 21, 2023

Performance Enhancement Leveraging Mask-RCNN on Bengali Document Layout Analysis
Shrestha Datta, Md Adith Mollah, Raisa Fairooz, Tariful Islam Fahim
Bangla Text Performance Improvement R CNN Document Layout Analysis PDF Document

August 11, 2023

Classification of White Blood Cells Using Machine and Deep Learning Models: A Systematic Review
Rabia Asghar, Sanjay Kumar, Paul Hynds, Arslan Shaukat
Deep Learning Model Classification Code New Machine Medical Image Analysis Systematic Review R CNN Blood Cell Classification White Blood Cell

July 25, 2023

Cos R-CNN for Online Few-shot Object Detection
Gratianus Wesley Putra Data, Henry Howard-Jenkins, David Murray, Victor Prisacariu
Supervised ImageNet Shot Object Detection R CNN

R CNN

Papers

Polar R-CNN: End-to-End Lane Detection with Fewer Anchors

YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary

Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection

PolyR-CNN: R-CNN for end-to-end polygonal building outline extraction

A DeNoising FPN With Transformer R-CNN for Tiny Object Detection

Real Time Deep Learning Weapon Detection Techniques for Mitigating Lone Wolf Attacks

FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method

Self-Balanced R-CNN for Instance Segmentation

BAM: Box Abstraction Monitors for Real-time OoD Detection in Object Detection

ClusterTabNet: Supervised clustering method for table detection and table structure recognition

Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images

A Multimodal Approach for Advanced Pest Detection and Classification

Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images

Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection

Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning

How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty

Defect Detection in Synthetic Fibre Ropes using Detectron2 Framework

Performance Enhancement Leveraging Mask-RCNN on Bengali Document Layout Analysis

Classification of White Blood Cells Using Machine and Deep Learning Models: A Systematic Review

Cos R-CNN for Online Few-shot Object Detection