Boundary loss for highly unbalanced segmentation

高度不平衡分割任务中的边界损失.

计算模型的参数量(Params)和运算量(FLOPs)

Compute the parameters and FLOPs of the model using thop.

Objects as Points

CenterNet：把目标检测视为中心点检测.

Argmax与SoftArgmax

Implement SoftArgmax with Pytorch.

Focal Loss for Dense Object Detection

RetinaNet：密集目标检测的焦点损失.

SSD: Single Shot MultiBox Detector

SSD：单次多边界框检测器.