Random Gaussian Blur

Random Gaussian Blur is an image data augmentation technique where we randomly blur the image using a Gaussian distribution.

Image Source: Wikipedia

Latest Papers

PAPER DATE
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue CaoZhenda XieBin LiuYutong LinZheng ZhangHan Hu
2020-06-25
CLOCS: Contrastive Learning of Cardiac Signals
Dani KiyassehTingting ZhuDavid A. Clifton
2020-05-27
Improved Baselines with Momentum Contrastive Learning
| Xinlei ChenHaoqi FanRoss GirshickKaiming He
2020-03-09
A Simple Framework for Contrastive Learning of Visual Representations
| Ting ChenSimon KornblithMohammad NorouziGeoffrey Hinton
2020-02-13
PSANet: Point-wise Spatial Attention Network for Scene Parsing
| Hengshuang ZhaoYi ZhangShu LiuJianping ShiChen Change LoyDahua LinJiaya Jia
2018-09-01
Pyramid Scene Parsing Network
| Hengshuang ZhaoJianping ShiXiaojuan QiXiaogang WangJiaya Jia
2016-12-04

Components

COMPONENT TYPE
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories