RestoreDet: Degradation Equivariant Representation for Object Detection
in Low Resolution Images

RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images

7 January 2022

Ziteng Cui

Guo-Jun Qi

Papers citing "RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images"

8 / 58 papers shown

Title
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 167 1,934 0 24 Feb 2016
Studying Very Low Resolution Recognition Using Deep Networks Zhangyang Wang Shiyu Chang Yingzhen Yang Ding Liu Thomas S. Huang 41 226 0 16 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 229 29,816 0 08 Dec 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 104 6,184 0 14 Nov 2015
Is Image Super-resolution Helpful for Other Vision Tasks? Dengxin Dai Yujian Wang Yuhua Chen Luc Van Gool SupR 48 132 0 23 Sep 2015
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 688 36,935 0 08 Jun 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,638 0 01 May 2014