5 papers · 1 filter
Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
Cuong Manh Hoang, Yeejin Lee, Byeongkeun Kang
This work addresses the task of self-supervised learning (SSL) on a long-tailed dataset that aims to learn balanced and well-separated representations for downstream tasks such as…
Generalized Class Discovery in Instance Segmentation
Cuong Manh Hoang, Yeejin Lee, Byeongkeun Kang
This work addresses the task of generalized class discovery (GCD) in instance segmentation. The goal is to discover novel classes and obtain a model capable of segmenting instances…
Content-Aware Preserving Image Generation
Giang H. Le, Anh Q. Nguyen, Byeongkeun Kang +1
Remarkable progress has been achieved in image generation with the introduction of generative models. However, precisely controlling the content in generated images remains a chall…
MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation
Duc Dang Trung Tran, Byeongkeun Kang, Yeejin Lee
Recently, transformer-based techniques incorporating superpoints have become prevalent in 3D instance segmentation. However, they often encounter an over-segmentation problem, espe…
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…