In the ImageNet Challenge, there are a large amount of emerging algorithms for image classification, such as AlexNet [1], GoogLeNet [2], and ResNet [3]. Subsequently, the R-CNN [4] algorithm is the first to apply the convolutional neural network algorithm to the object detection field in...
On ImageNet, the trained linear classifier is close to supervised. The performance of ResNet50 reaches a top-1 accuracy rate of 76.5% and even surpasses some supervised learning methods on some data sets. However, the SimCLR method relies on a huge batch of data and a deeper network, ...
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。 最具代表性的二阶段目标检测器R-CNN系列,包括fast R-CNN,faster R-CNN ,R-FCN [9],Libra R-CNN。也可以使得二阶段目标检测...