Search Results for author: Sehyun Hwang

Found 5 papers, 1 papers with code

Active Label Correction for Semantic Segmentation with Foundation Models

no code implementations16 Mar 2024 Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok

Training and validating models for semantic segmentation require datasets with pixel-wise annotations, which are notoriously labor-intensive.

Semantic Segmentation Superpixels

Learning to Detect Semantic Boundaries with Image-level Class Labels

no code implementations15 Dec 2022 Namyup Kim, Sehyun Hwang, Suha Kwak

This paper presents the first attempt to learn semantic boundary detection using image-level class labels as supervision.

Boundary Detection Image Classification +1

Combating Label Distribution Shift for Active Domain Adaptation

no code implementations13 Aug 2022 Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak

We consider the problem of active domain adaptation (ADA) to unlabeled target data, of which subset is actively selected and labeled given a budget constraint.

Domain Adaptation

Learning Debiased Classifier with Biased Committee

1 code implementation22 Jun 2022 Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

We propose a new method for training debiased classifiers with no spurious attribute label.

Attribute

Cannot find the paper you are looking for? You can Submit a new open access paper.