DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Monitoring and depth of strategy use in computer-based learning environments for science and history.
Object Detection with Mask-based Feature Encoding
A multitask deep learning model for real-time deployment in embedded systems
Overlapping layered learning
Rethinking Atrous Convolution for Semantic Image Segmentation