4 papers
Learning Adversarial Augmentation Policies for Robust Garlic Seedling Detection
Soeun Lee, Chanho Kim, Yeji Kang +2
Accurate seedling detection during early growth stages is essential for timely replanting and effective crop management in precision agriculture. However, existing studies are most…
Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation
David Minkwan Kim, Soeun Lee, Byeongkeun Kang
This work addresses the task of completely weakly supervised class-incremental learning for semantic segmentation to learn segmentation for both base and additional novel classes u…
Improving Weakly-Supervised Object Localization Using Adversarial Erasing and Pseudo Label
Byeongkeun Kang, Sinhae Cha, Yeejin Lee
Weakly-supervised learning approaches have gained significant attention due to their ability to reduce the effort required for human annotations in training neural networks. This p…
Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization
David Kim, Sinhae Cha, Byeongkeun Kang
This work addresses the task of weakly-supervised object localization. The goal is to learn object localization using only image-level class labels, which are much easier to obtain…