Methods > Computer Vision > Image Data Augmentation

Random Resized Crop


RandomResizedCrop is a type of image data augmentation where a crop of random size of the original size and a random aspect ratio of the original aspect ratio is made. This crop is finally resized to given size.

Image Credit: Apache MXNet

Latest Papers

PAPER DATE
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
| Jonas DippelSteffen DippelJohannes Höhne
2021-04-09
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Abhijit Guha RoyJie RenShekoofeh AziziAaron LohVivek NatarajanBasil MustafaNick PawlowskiJan FreybergYuAn LiuZach BeaverNam VoPeggy BuiSamantha WinterPatricia MacWilliamsGreg S. CorradoUmesh TelangYun LiuTaylan CemgilAlan KarthikesalingamBalaji LakshminarayananJim Winkens
2021-04-08
Benchmarking Representation Learning for Natural World Image Collections
| Grant van HornElijah ColeSara BeeryKimberly WilberSerge BelongieOisin Mac Aodha
2021-03-30
Classification of Seeds using Domain Randomization on Self-Supervised Learning Frameworks
Venkat MargapuriMitchell Neilsen
2021-03-29
Self-supervised Pretraining of Visual Features in the Wild
| Priya GoyalMathilde CaronBenjamin LefaudeuxMin XuPengchao WangVivek PaiMannat SinghVitaliy LiptchinskyIshan MisraArmand JoulinPiotr Bojanowski
2021-03-02
SISE-PC: Semi-supervised Image Subsampling for Explainable Pathology
| Sohini RoychowdhuryKwok Sun TangMohith AshokAnoop Sanka
2021-02-23
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
Yu LiuLianghua HuangPan PanBin WangYinghui XuRong Jin
2021-02-09
Bottleneck Transformers for Visual Recognition
| Aravind SrinivasTsung-Yi LinNiki ParmarJonathon ShlensPieter AbbeelAshish Vaswani
2021-01-27
Self-Supervised Representation Learning from Flow Equivariance
Yuwen XiongMengye RenWenyuan ZengRaquel Urtasun
2021-01-16
Consistent Instance Classification for Unsupervised Representation Learning
Anonymous
2021-01-01
Fast Training of Contrastive Learning with Intermediate Contrastive Loss
Anonymous
2021-01-01
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
| Tianlong ChenJonathan FrankleShiyu ChangSijia LiuYang ZhangMichael CarbinZhangyang Wang
2020-12-12
Beyond Single Instance Multi-view Unsupervised Representation Learning
Xiangxiang ChuXiaohang ZhanXiaolin Wei
2020-11-26
Exploring Contrastive Learning in Human Activity Recognition for Healthcare
| Chi Ian TangIgnacio Perez-PozueloDimitris SpathisCecilia Mascolo
2020-11-23
Towards Domain-Agnostic Contrastive Learning
Vikas VermaMinh-Thang LuongKenji KawaguchiHieu PhamQuoc V. Le
2020-11-09
Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok MishraAnshul ShahAnkan BansalJonghyun ChoiAbhinav ShrivastavaAbhishek SharmaDavid Jacobs
2020-11-03
Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning
| Dongwei JiangWubo LiMiao CaoRuixiong ZhangWei ZouKun HanXiangang Li
2020-10-27
For self-supervised learning, Rationality implies generalization, provably
| Yamini BansalGal KaplunBoaz Barak
2020-10-16
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
| Alex TamkinMike WuNoah Goodman
2020-10-14
Self-Supervised Ranking for Representation Learning
Ali VarameshAli DibaTinne TuytelaarsLuc van Gool
2020-10-14
Understanding Self-supervised Learning with Dual Deep Networks
| Yuandong TianLantao YuXinlei ChenSurya Ganguli
2020-10-01
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
| Souradip ChakrabortyAritra Roy GosthipatySayak Paul
2020-09-28
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
| Souradip ChakrabortyAritra Roy GosthipatySayak Paul
2020-09-25
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss
Yanlun TuJianxing FengYang Yang
2020-09-17
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
| William FalconKyunghyun Cho
2020-08-31
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong WangZiwei LiuStella X. Yu
2020-08-09
Spatiotemporal Contrastive Video Representation Learning
| Rui QianTianjian MengBoqing GongMing-Hsuan YangHuisheng WangSerge BelongieYin Cui
2020-08-09
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue CaoZhenda XieBin LiuYutong LinZheng ZhangHan Hu
2020-06-25
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani KiyassehTingting ZhuDavid A. Clifton
2020-05-27
SCAN: Learning to Classify Images without Labels
| Wouter Van GansbekeSimon VandenhendeStamatios GeorgoulisMarc ProesmansLuc van Gool
2020-05-25
ResNeSt: Split-Attention Networks
| Hang ZhangChongruo wuZhongyue ZhangYi ZhuHaibin LinZhi ZhangYue SunTong HeJonas MuellerR. ManmathaMu LiAlexander Smola
2020-04-19
Fixing the train-test resolution discrepancy: FixEfficientNet
| Hugo TouvronAndrea VedaldiMatthijs DouzeHervé Jégou
2020-03-18
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
| Zhiqiang ShenZechun LiuZhuang LiuMarios SavvidesTrevor DarrellEric Xing
2020-03-11
Improved Baselines with Momentum Contrastive Learning
| Xinlei ChenHaoqi FanRoss GirshickKaiming He
2020-03-09
MaxUp: A Simple Way to Improve Generalization of Neural Network Training
| Chengyue GongTongzheng RenMao YeQiang Liu
2020-02-20
A Simple Framework for Contrastive Learning of Visual Representations
| Ting ChenSimon KornblithMohammad NorouziGeoffrey Hinton
2020-02-13
Harmonic Convolutional Networks based on Discrete Cosine Transform
| Matej UlicnyVladimir A. KrylovRozenn Dahyot
2020-01-18
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network
| Jungkyu LeeTaeryun WonTae Kwan LeeHyemin LeeGeonmo GuKiho Hong
2020-01-17
Big Transfer (BiT): General Visual Representation Learning
| Alexander KolesnikovLucas BeyerXiaohua ZhaiJoan PuigcerverJessica YungSylvain GellyNeil Houlsby
2019-12-24
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
| Xianzhi DuTsung-Yi LinPengchong JinGolnaz GhiasiMingxing TanYin CuiQuoc V. LeXiaodan Song
2019-12-10
GhostNet: More Features from Cheap Operations
| Kai HanYunhe WangQi TianJianyuan GuoChunjing XuChang Xu
2019-11-27
Momentum Contrast for Unsupervised Visual Representation Learning
| Kaiming HeHaoqi FanYuxin WuSaining XieRoss Girshick
2019-11-13
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
| Qilong WangBanggu WuPengfei ZhuPeihua LiWangMeng ZuoQinGhua Hu
2019-10-08
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
| Hang GaoXizhou ZhuSteve LinJifeng Dai
2019-10-07
RandAugment: Practical automated data augmentation with a reduced search space
| Ekin D. CubukBarret ZophJonathon ShlensQuoc V. Le
2019-09-30
Attentive Normalization
| Xilai LiWei SunTianfu Wu
2019-08-04
Compact Global Descriptor for Neural Networks
| Xiangyu HeKe ChengQiang ChenQinghao HuPeisong WangJian Cheng
2019-07-23
Densely Connected Search Space for More Flexible Neural Architecture Search
| Jiemin FangYuzhu SunQian ZhangYuan LiWenyu LiuXinggang Wang
2019-06-23
Fixing the train-test resolution discrepancy
| Hugo TouvronAndrea VedaldiMatthijs DouzeHervé Jégou
2019-06-14
Contrastive Multiview Coding
| Yonglong TianDilip KrishnanPhillip Isola
2019-06-13
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
| Xiang LiXiaolin HuJian Yang
2019-05-23
Data-Efficient Image Recognition with Contrastive Predictive Coding
| Olivier J. HénaffAravind SrinivasJeffrey De FauwAli RazaviCarl DoerschS. M. Ali EslamiAaron van den Oord
2019-05-22
Searching for MobileNetV3
| Andrew HowardMark SandlerGrace ChuLiang-Chieh ChenBo ChenMingxing TanWeijun WangYukun ZhuRuoming PangVijay VasudevanQuoc V. LeHartwig Adam
2019-05-06
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
| Yue CaoJiarui XuStephen LinFangyun WeiHan Hu
2019-04-25
Attention Augmented Convolutional Networks
| Irwan BelloBarret ZophAshish VaswaniJonathon ShlensQuoc V. Le
2019-04-22
Data-Driven Neuron Allocation for Scale Aggregation Networks
| Yi LiZhanghui KuangYimin ChenWayne Zhang
2019-04-20
CornerNet-Lite: Efficient Keypoint Based Object Detection
| Hei LawYun TengOlga RussakovskyJia Deng
2019-04-18
Res2Net: A New Multi-scale Backbone Architecture
| Shang-Hua GaoMing-Ming ChengKai ZhaoXin-Yu ZhangMing-Hsuan YangPhilip Torr
2019-04-02
Exploring Randomly Wired Neural Networks for Image Recognition
| Saining XieAlexander KirillovRoss GirshickKaiming He
2019-04-02
SRM : A Style-based Recalibration Module for Convolutional Neural Networks
| HyunJae LeeHyo-Eun KimHyeonseob Nam
2019-03-26
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
ELASTIC: Improving CNNs with Dynamic Scaling Policies
| Huiyu WangAniruddha KembhaviAli FarhadiAlan YuilleMohammad Rastegari
2018-12-13
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
| Bichen WuXiaoliang DaiPeizhao ZhangYanghan WangFei SunYiming WuYuandong TianPeter VajdaYangqing JiaKurt Keutzer
2018-12-09
Bag of Tricks for Image Classification with Convolutional Neural Networks
| Tong HeZhi ZhangHang ZhangZhongyue ZhangJunyuan XieMu Li
2018-12-04
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
| Sachin MehtaMohammad RastegariLinda ShapiroHannaneh Hajishirzi
2018-11-28
CornerNet: Detecting Objects as Paired Keypoints
| Hei LawJia Deng
2018-08-03
MnasNet: Platform-Aware Neural Architecture Search for Mobile
| Mingxing TanBo ChenRuoming PangVijay VasudevanMark SandlerAndrew HowardQuoc V. Le
2018-07-31
CBAM: Convolutional Block Attention Module
| Sanghyun WooJongchan ParkJoon-Young LeeIn So Kweon
2018-07-17
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
| Chun-Fu ChenQuanfu FanNeil MallinarTom SercuRogerio Feris
2018-07-10
Exploring the Limits of Weakly Supervised Pretraining
| Dhruv MahajanRoss GirshickVignesh RamanathanKaiming HeManohar PaluriYixuan LiAshwin BharambeLaurens van der Maaten
2018-05-02
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
| Sachin MehtaMohammad RastegariAnat CaspiLinda ShapiroHannaneh Hajishirzi
2018-03-19
A Closer Look at Spatiotemporal Convolutions for Action Recognition
| Du TranHeng WangLorenzo TorresaniJamie RayYann LecunManohar Paluri
2017-11-30
Squeeze-and-Excitation Networks
| Jie HuLi ShenSamuel AlbanieGang SunEnhua Wu
2017-09-05
Dual Path Networks
| Yunpeng ChenJianan LiHuaxin XiaoXiaojie JinShuicheng YanJiashi Feng
2017-07-06
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
| Xiangyu ZhangXinyu ZhouMengxiao LinJian Sun
2017-07-04
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
| Andrew G. HowardMenglong ZhuBo ChenDmitry KalenichenkoWeijun WangTobias WeyandMarco AndreettoHartwig Adam
2017-04-17
Active Convolution: Learning the Shape of Convolution for Image Classification
| Yunho JeonJunmo Kim
2017-03-27
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
Aggregated Residual Transformations for Deep Neural Networks
| Saining XieRoss GirshickPiotr DollárZhuowen TuKaiming He
2016-11-16
Deep Pyramidal Residual Networks
| Dongyoon HanJiwhan KimJunmo Kim
2016-10-10
FractalNet: Ultra-Deep Neural Networks without Residuals
| Gustav LarssonMichael MaireGregory Shakhnarovich
2016-05-24
Wide Residual Networks
| Sergey ZagoruykoNikos Komodakis
2016-05-23
Identity Mappings in Deep Residual Networks
| Kaiming HeXiangyu ZhangShaoqing RenJian Sun
2016-03-16
Deep Residual Learning for Image Recognition
| Kaiming HeXiangyu ZhangShaoqing RenJian Sun
2015-12-10
You Only Look Once: Unified, Real-Time Object Detection
| Joseph RedmonSantosh DivvalaRoss GirshickAli Farhadi
2015-06-08
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
| Sergey IoffeChristian Szegedy
2015-02-11
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
| Kaiming HeXiangyu ZhangShaoqing RenJian Sun
2015-02-06
Going Deeper with Convolutions
| Christian SzegedyWei LiuYangqing JiaPierre SermanetScott ReedDragomir AnguelovDumitru ErhanVincent VanhouckeAndrew Rabinovich
2014-09-17
Very Deep Convolutional Networks for Large-Scale Image Recognition
| Karen SimonyanAndrew Zisserman
2014-09-04
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
| Kaiming HeXiangyu ZhangShaoqing RenJian Sun
2014-06-18
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
| Pierre SermanetDavid EigenXiang ZhangMichael MathieuRob FergusYann Lecun
2013-12-21
Some Improvements on Deep Convolutional Neural Network Based Image Classification
| Andrew G. Howard
2013-12-19
Visualizing and Understanding Convolutional Networks
| Matthew D. ZeilerRob Fergus
2013-11-12
ImageNet Classification with Deep Convolutional Neural Networks
| Alex KrizhevskyIlya SutskeverGeoffrey E. Hinton
2012-12-01

Components

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

Categories