yolo4_tensorflow2:tensorflow2.0实现的yolo第4版-源码
yolo4_tensorflow2
tensorflow2.0实现的yolo第4版
[目录]
概述
对于那些在GPU平台上运行的检测器，它们的主干网络可能为VGG，ResNet，ResNeXt或DenseNet。
而对于那些在CPU平台上运行的检测器，他们的检测器可能为SqueezeNet，MobileNet，ShufflfleNet。
最具特色的二阶段目标检测器R-CNN系列，包括快速R-CNN，更快的R-CNN，R-FCN [9]，Libra R-CNN。目标检测器，例如RepPoints。至于一阶段目标检测器，尤其有意义的网络包括YOLO，SSD，RetinaNet。
一阶段的无锚目标检测器在不断发展，包括CenterNet，CornerNet，FCOS等。收集不同阶段的特征图，具有这种机制的网络，包括特征金字塔网络（FPN），路径聚合网络（PAN），BiFPN和NAS-FPN。
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