Machine Learning Relation Networks for Object Detection byeongjo.kim 2021. 2. 1. 22:07 728x90 논문 리뷰 - Relation Networks for Object Detection (byeongjokim.github.io) 논문 리뷰 - Relation Networks for Object Detection 저자는 딥러닝이 유행하기 이전의 object relation을 이용하여 이 문제를 해결하고자 하였다. 그러나 보통 object는 각기 다른 위치, 다른 크기, 다른 종류 그리고 다른 이미지로 검출 되기 때문에 NLP byeongjokim.github.io 728x90 공유하기 게시글 관리 BYEONGJO's BLOG 'Machine Learning' 카테고리의 다른 글 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 Self-training with Noisy Student improves ImageNet classification (0) 2021.02.01 YOLACT: Real-time Instance Segmentation (0) 2021.02.01 'Machine Learning' Related Articles d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection Self-training with Noisy Student improves ImageNet classification YOLACT: Real-time Instance Segmentation