Tag: data augmentation
Posted in X-Review
[arXiv] SimCLR – A Simple Framework for Contrastive Learning of Visual Representations
논문: A Simple Framework for Contrastive Learning of Visual Representations 이번 논문 포스트는 Google Research에서 발표한 SimCLR (Simple framework for Contrastive Learning of visual Representations)입니다….
Posted in X-Review
[arXiv] Adversarial Feature Selection for Training AutoML
논문: Adversarial Validation Approach to Concept Drift Problem in Automated Machine Learning System 이번 논문은 AutoML을 훈련시킬 때 training dataset과 test dataset의 분포와 특징이 달라서…
[arXiv] PPBA: Progressive Population Based Augmentation
논문: Improving 3D Object Detection through Progressive Population Based Augmentation 머신러닝 모델을 훈련할 때 성능을 높이기 위한 방법은 model structure 뿐만 아니라 data augmentation, optimizing,…
안녕하세요 태주님 댓글 감사합니다. 답변을 드리자면, A1. 저자가 real data 수를 바꿔가며 실험을 진행할 때, Real data가 150개일땐 Real data…