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cs.CV2024
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…
cs.CV2023
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…