AutoAssign: Differentiable Label Assignment for Dense Object Detection

AutoAssign：密集目标检测中的可微标签分配.

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

Generalized Focal Loss V2：学习密集目标检测中可靠的定位质量估计.

VarifocalNet: An IoU-aware Dense Object Detector

VarifocalNet：交并比感知的密集目标检测器.

Soft Anchor-Point Object Detection

软锚框-点目标检测.

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

通过自适应训练样本选择弥补基于Anchor和无Anchor检测之间的差距.

Libra R-CNN: Towards Balanced Learning for Object Detection

Libra R-CNN: 面向目标检测中的均衡学习.