Machine Learning End-to-End Object Detection with Transformers byeongjo.kim 2021. 2. 1. 22:10 728x90 논문 리뷰 - End-to-End Object Detection with Transformers (byeongjokim.github.io) 논문 리뷰 - End-to-End Object Detection with Transformers Facebook Research에서 발표한 Object Detection 모델 byeongjokim.github.io 728x90 공유하기 게시글 관리 BYEONGJO's BLOG 'Machine Learning' 카테고리의 다른 글 [ECCV2020] - VIPriors Workshop Challenge(Image Classification) 3rd 후기 (0) 2021.02.01 Rethinking Pre-training and Self-training (0) 2021.02.01 Deep Learning on Small Datasets without Pre-Training using Cosine Loss (0) 2021.02.01 d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding (0) 2021.02.01 Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection (0) 2021.02.01 'Machine Learning' Related Articles [ECCV2020] - VIPriors Workshop Challenge(Image Classification) 3rd 후기 Rethinking Pre-training and Self-training Deep Learning on Small Datasets without Pre-Training using Cosine Loss d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding