CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, +3

Regional DropoutConvolutional Neural NetworkEngineeringMachine LearningImage Classification +18

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Sangdoo Yun, Dongyoon Han, Seong Joon Oh, +3

arXiv (Cornell University)

Regional DropoutConvolutional Neural NetworkEngineeringMachine LearningImage Classification +18

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning

Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, +2

Automotive TrackingReinforcement Learning EnablesMachine VisionMachine LearningEngineering +11

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Jihwan Bang, Heesu Kim, Youngjoon Yoo, +2

Rethinking Channel Dimensions for Efficient Model Design

Dongyoon Han, Sangdoo Yun, Byeongho Heo, +1

Convolutional Neural NetworkEngineeringMachine LearningChannel ConfigurationComputer-aided Design +19

Action-Driven Visual Object Tracking With Deep Reinforcement Learning

Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, +2

IEEE Transactions on Neural Networks and Learning Systems

Deep Neural NetworksMachine VisionImage AnalysisMachine LearningEfficient Visual Tracker +12

MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis

Hyojin Park, Youngjoon Yoo, Nojun Kwak

arXiv (Cornell University)

Image AnalysisMachine LearningMachine VisionEngineeringGenerative Adversarial Network +12

Two-stage online inference model for traffic pattern analysis and anomaly detection

Hawook Jeong, Youngjoon Yoo, Kwang Moo Yi, +1

Machine Vision and Applications

Internet Traffic AnalysisAnomaly DetectionEngineeringData ScienceData Mining +8

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

Beomyoung Kim, Youngjoon Yoo, Chae Eun Rhee, +1

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Scene AnalysisEngineeringMachine LearningMultiple Instance LearningNatural Language Processing +17

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods

Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, +3

arXiv (Cornell University)

Mathematical ProgrammingConvolutional Neural NetworkEngineeringMachine LearningAutoencoders +23