Fast R-CNN

Introduced by Girshick in Fast R-CNN

Fast R-CNN is an object detection model that improves in its predecessor R-CNN in a number of ways. Instead of extracting CNN features independently for each region of interest, Fast R-CNN aggregates them into a single forward pass over the image; i.e. regions of interest from the same image share computation and memory in the forward and backward passes.

Source: Fast R-CNN

Latest Papers

PAPER DATE
Weakly Supervised Instance Segmentation by Deep Community Learning
Jaedong HwangSeohyun KimJeany SonBohyung Han
2020-01-30
The Pedestrian Patterns Dataset
Kasra MokhtariAlan R. Wagner
2020-01-06
Discriminative Feature Transformation for Occluded Pedestrian Detection
Chunluan Zhou Ming Yang Junsong Yuan
2019-10-01
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
| Thang VuHyunjun JangTrung X. PhamChang D. Yoo
2019-09-15
Fast and Efficient Model for Real-Time Tiger Detection In The Wild
Orest KupynDmitry Pranchuk
2019-09-03
RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
| Ramin NabatiHairong Qi
2019-05-01
Object-driven Text-to-Image Synthesis via Adversarial Training
| Wenbo LiPengchuan ZhangLei ZhangQiuyuan HuangXiaodong HeSiwei LyuJianfeng Gao
2019-02-27
Region Proposal by Guided Anchoring
| Jiaqi WangKai ChenShuo YangChen Change LoyDahua Lin
2019-01-10
Model-based active learning to detect isometric deformable objects in the wild with deep architectures
Shrinivasan SankarAdrien Bartoli
2018-06-07
Real-time Surgical Tools Recognition in Total Knee Arthroplasty Using Deep Neural Networks
Moazzem HossainSoichi NishioTakafumi HiranakaSyoji Kobashi
2018-06-06
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
| Zhirong WuYuanjun XiongStella YuDahua Lin
2018-05-05
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images
Zenan LingRobert C. QiuZhijian JinYuhang ZhangXing HeHaichun LiuLei Chu
2018-01-16
Multi-Channel CNN-based Object Detection for Enhanced Situation Awareness
Shuo LiuZheng Liu
2017-11-30
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
| Vadim KantorovMaxime OquabMinsu ChoIvan Laptev
2016-09-14
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection
Xiang WangHuimin MaXiaozhi ChenShaodi You
2016-08-29
End-to-end training of object class detectors for mean average precision
Paul HendersonVittorio Ferrari
2016-07-12
Adversarial Feature Learning
| Jeff DonahuePhilipp KrähenbühlTrevor Darrell
2016-05-31
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
| Kai KangHongsheng LiJunjie YanXingyu ZengBin YangTong XiaoCong ZhangZhe WangRuohui WangXiaogang WangWanli Ouyang
2016-04-09
A MultiPath Network for Object Detection
| Sergey ZagoruykoAdam LererTsung-Yi LinPedro O. PinheiroSam GrossSoumith ChintalaPiotr Dollár
2016-04-07
You Only Look Once: Unified, Real-Time Object Detection
| Joseph RedmonSantosh DivvalaRoss GirshickAli Farhadi
2015-06-08
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
| Shaoqing RenKaiming HeRoss GirshickJian Sun
2015-06-04
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xiangyu ZhangJianhua ZouKaiming HeJian Sun
2015-05-26
Fast R-CNN
| Ross Girshick
2015-04-30
What makes for effective detection proposals?
Jan HosangRodrigo BenensonPiotr DollárBernt Schiele
2015-02-17

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