C V ] 2 2 Ju n 20 18 Constructing Fast Network through Deconstruction of Convolution
SupportNet: solving catastrophic forgetting in class incremental learning with support data
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning
ExFuse: Enhancing Feature Fusion for Semantic Segmentation
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions