162 citations · 313 across the 43 of their papers we have counts for
5 papers · 2 filters
Deep Active Learning with Augmentation-based Consistency Estimation
SeulGi Hong, Heonjin Ha, Junmo Kim +1
In active learning, the focus is mainly on the selection strategy of unlabeled data for enhancing the generalization capability of the next learning cycle. For this, various uncert…
PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation
JuYoung Yang, Chanho Lee, Pyunghwan Ahn +3
Following considerable development in 3D scanning technologies, many studies have recently been proposed with various approaches for 3D vision tasks, including some methods that ut…
Highway Driving Dataset for Semantic Video Segmentation
Byungju Kim, Junho Yim, Junmo Kim
Scene understanding is an essential technique in semantic segmentation. Although there exist several datasets that can be used for semantic segmentation, they are mainly focused on…
Collaborative Method for Incremental Learning on Classification and Generation
Byungju Kim, Jaeyoung Lee, Kyungsu Kim +2
Although well-trained deep neural networks have shown remarkable performance on numerous tasks, they rapidly forget what they have learned as soon as they begin to learn with addit…
TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator
Doyeon Kim, Donggyu Joo, Junmo Kim
Advances in technology have led to the development of methods that can create desired visual multimedia. In particular, image generation using deep learning has been extensively st…