Machine Learning d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding byeongjo.kim 2021. 2. 1. 22:08 728x90 논문 리뷰 - d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding (byeongjokim.github.io) 논문 리뷰 - d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding Domain Adaptation은 S(source) 도메인 데이터를 이용하여, T(target) 도메인에서 높은 성능을 내는 모델을 만드는 연구이다. byeongjokim.github.io 728x90 공유하기 게시글 관리 BYEONGJO's BLOG 'Machine Learning' 카테고리의 다른 글 End-to-End Object Detection with Transformers (0) 2021.02.01 Deep Learning on Small Datasets without Pre-Training using Cosine Loss (0) 2021.02.01 Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection (0) 2021.02.01 Relation Networks for Object Detection (0) 2021.02.01 Self-training with Noisy Student improves ImageNet classification (0) 2021.02.01 'Machine Learning' Related Articles End-to-End Object Detection with Transformers Deep Learning on Small Datasets without Pre-Training using Cosine Loss Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection Relation Networks for Object Detection