BriefGPT.xyz
Aug, 2021
平衡目标检测预测一致性调和
Reconcile Prediction Consistency for Balanced Object Detection
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Keyang Wang, Lei Zhang
TL;DR
通过提出谐波损失,实现了分类分支和定位分支之间的协同优化,使得训练阶段的分类误差和定位误差能够同步优化,从而解决了现有目标检测器中存在的分类得分高但定位不准或者定位准确但分类得分低等预测不一致问题,在PASCAL VOC和MS COCO的基准测试中均取得了优秀的表现。
Abstract
classification
and regression are two pillars of
object detectors
. In most
cnn-based detectors
, these two pillars are optimized independen
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