Color Jitter

ColorJitter is a type of image data augmentation where we randomly change the brightness, contrast and saturation of an image.

Image Credit: Apache MXNet

Latest Papers

PAPER DATE
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue CaoZhenda XieBin LiuYutong LinZheng ZhangHan Hu
2020-06-25
Differentiable Augmentation for Data-Efficient GAN Training
| Shengyu ZhaoZhijian LiuJi LinJun-Yan ZhuSong Han
2020-06-18
CLOCS: Contrastive Learning of Cardiac Signals
Dani KiyassehTingting ZhuDavid A. Clifton
2020-05-27
ResNeSt: Split-Attention Networks
| Hang ZhangChongruo WuZhongyue ZhangYi ZhuZhi ZhangHaibin LinYue SunTong HeJonas MuellerR. ManmathaMu LiAlexander Smola
2020-04-19
TResNet: High Performance GPU-Dedicated Architecture
| Tal RidnikHussam LawenAsaf NoyItamar FriedmanEmanuel Ben BaruchGilad Sharir
2020-03-30
Fixing the train-test resolution discrepancy: FixEfficientNet
| Hugo TouvronAndrea VedaldiMatthijs DouzeHervé Jégou
2020-03-18
A Simple Framework for Contrastive Learning of Visual Representations
| Ting ChenSimon KornblithMohammad NorouziGeoffrey Hinton
2020-02-13
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network
| Jungkyu LeeTaeryun WonTae Kwan LeeHyemin LeeGeonmo GuKiho Hong
2020-01-17
Adversarial Examples Improve Image Recognition
| Cihang XieMingxing TanBoqing GongJiang WangAlan YuilleQuoc V. Le
2019-11-21
Momentum Contrast for Unsupervised Visual Representation Learning
| Kaiming HeHaoqi FanYuxin WuSaining XieRoss Girshick
2019-11-13
RandAugment: Practical automated data augmentation with a reduced search space
| Ekin D. CubukBarret ZophJonathon ShlensQuoc V. Le
2019-09-30
SCARLET-NAS: Bridging the gap between Stability and Scalability in Weight-sharing Neural Architecture Search
| Xiangxiang ChuBo ZhangJixiang LiQingyuan LiRuijun Xu
2019-08-16
Fixing the train-test resolution discrepancy
| Hugo TouvronAndrea VedaldiMatthijs DouzeHervé Jégou
2019-06-14
Fast AutoAugment
| Sungbin LimIldoo KimTaesup KimChiheon KimSungwoong Kim
2019-05-01
CornerNet-Lite: Efficient Keypoint Based Object Detection
| Hei LawYun TengOlga RussakovskyJia Deng
2019-04-18
MultiGrain: a unified image embedding for classes and instances
| Maxim BermanHervé JégouAndrea VedaldiIasonas KokkinosMatthijs Douze
2019-02-14
Bottom-up Object Detection by Grouping Extreme and Center Points
| Xingyi ZhouJiacheng ZhuoPhilipp Krähenbühl
2019-01-23
CornerNet: Detecting Objects as Paired Keypoints
| Hei LawJia Deng
2018-08-03
YOLO9000: Better, Faster, Stronger
| Joseph RedmonAli Farhadi
2016-12-25
Image-to-Image Translation with Conditional Adversarial Networks
| Phillip IsolaJun-Yan ZhuTinghui ZhouAlexei A. Efros
2016-11-21
You Only Look Once: Unified, Real-Time Object Detection
| Joseph RedmonSantosh DivvalaRoss GirshickAli Farhadi
2015-06-08
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
| Kaiming HeXiangyu ZhangShaoqing RenJian Sun
2015-02-06
Very Deep Convolutional Networks for Large-Scale Image Recognition
| Karen SimonyanAndrew Zisserman
2014-09-04
Some Improvements on Deep Convolutional Neural Network Based Image Classification
| Andrew G. Howard
2013-12-19

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