3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 3 cited
Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks
Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang +1
DeepLab is a widely used deep neural network for semantic segmentation, whose success is attributed to its parallel architecture called atrous spatial pyramid pooling (ASPP). ASPP…
cs.LG2023★ 2 cited
How to Use Dropout Correctly on Residual Networks with Batch Normalization
Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang +2
For the stable optimization of deep neural networks, regularization methods such as dropout and batch normalization have been used in various tasks. Nevertheless, the correct posit…
cs.LG2023
On the Ideal Number of Groups for Isometric Gradient Propagation
Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang +1
Recently, various normalization layers have been proposed to stabilize the training of deep neural networks. Among them, group normalization is a generalization of layer normalizat…