Deep Learning, Artificial Intelligence, Convolutional Network, Object Detection, Machine Learning.
for prediction, fuses multi-scale information for each scale. In DSOD, in each scale (except scale-1), half of the feature maps are learned from the previous scale with a series of conv-layers, while the remaining half feature maps are directly down-sampled from the contiguous high-resolution