Deep Learning, Artificial Intelligence, Convolutional Network, Object Detection, Machine Learning.
ResNet-101 and 21.7ms (46 fps) for VGGNet. In addition, DSOD uses about only 1/2 parameters to SSD300 with VGGNet, 1/4 to SSD300 with ResNet-101, 1/4 to R-FCN with ResNet-101 and 1/10 to Faster R-CNN with VGGNet. A lite-version of DSOD (10.4M parameters, w/o any speed optimization) can run 25.8 fps