728x90 RetinaNet1 Focal Loss for Dense Object Detection(RetinaNet) (2018) Review Focal Loss for Dense Object Detection The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations. In contrast, one-stage detectors that are applied over a regular, dense sampl arxiv.org 0. 핵심 요약 배경과 class 간의 불균형을 기존의 cross entropy loss를 변형하여 해결하고자 함 Focal Loss는 학습 시 hard example.. 2024. 2. 12. 이전 1 다음 728x90
