33 citations · 33 across the 5 of their papers we have counts for
5 papers
Unsupervised Instance Segmentation with Superpixels
Cuong Manh Hoang
Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models brin…
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…
Long-Tailed Learning for Generalized Category Discovery
Cuong Manh Hoang
Generalized Category Discovery (GCD) utilizes labeled samples of known classes to discover novel classes in unlabeled samples. Existing methods show effective performance on artifi…
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…
Pixel-Level Clustering Network for Unsupervised Image Segmentation
Cuong Manh Hoang, Byeongkeun Kang
While image segmentation is crucial in various computer vision applications, such as autonomous driving, grasping, and robot navigation, annotating all objects at the pixel-level f…