Description
R-CNN, or Regions with CNN Features, is an object detection model that uses high-capacity CNNs to bottom-up region proposals in order to localize and segment objects. It uses selective search to identify a number of bounding-box object region candidates (“regions of interest”), and then extracts features from each region independently for classification.
Papers Using This Method
Image quality enhancement of embedded holograms in holographic information hiding using deep neural networks2021-12-20KOHTD: Kazakh Offline Handwritten Text Dataset2021-09-22Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems2021-08-03Sentiment analysis for Urdu online reviews using deep learning models2021-06-28CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec802020-12-23Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)2020-04-27Facial Action Unit Detection on ICU Data for Pain Assessment2020-04-24PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression2020-03-16Transferring Dense Pose to Proximal Animal Classes2020-02-28SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation2020-02-24Fine-Grained Object Detection over Scientific Document Images with Region Embeddings2019-10-28STELA: A Real-Time Scene Text Detector with Learned Anchor2019-09-17Multi-scale Aggregation R-CNN for 2D Multi-person Pose Estimation2019-05-10A Review of Object Detection Models based on Convolutional Neural Network2019-05-05BoLTVOS: Box-Level Tracking for Video Object Segmentation2019-04-09DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification2018-01-25Light-Head R-CNN: In Defense of Two-Stage Object Detector2017-11-20The Use of Object Labels and Spatial Prepositions as Keywords in a Web-Retrieval-Based Image Caption Generation System2017-04-01Segmentation of Instances by Hashing2017-02-27Learning Semantic Part-Based Models from Google Images2016-09-11