3 papers
cs.CV2022
Rethinking Efficacy of Softmax for Lightweight Non-Local Neural Networks
Yooshin Cho, Youngsoo Kim, Hanbyel Cho +3
Non-local (NL) block is a popular module that demonstrates the capability to model global contexts. However, NL block generally has heavy computation and memory costs, so it is imp…
cs.CV2021
Improving Generalization of Batch Whitening by Convolutional Unit Optimization
Yooshin Cho, Hanbyel Cho, Youngsoo Kim +1
Batch Whitening is a technique that accelerates and stabilizes training by transforming input features to have a zero mean (Centering) and a unit variance (Scaling), and by removin…
cs.CV2017
Mimicking Ensemble Learning with Deep Branched Networks
Byungju Kim, Youngsoo Kim, Yeakang Lee +1
This paper proposes a branched residual network for image classification. It is known that high-level features of deep neural network are more representative than lower-level featu…