517 citations · 880 across the 52 of their papers we have counts for
4 papers · 1 filter
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woong-Gi Chang, Tackgeun You, Seonguk Seo +2
We propose a novel unsupervised domain adaptation framework based on domain-specific batch normalization in deep neural networks. We aim to adapt to both domains by specializing ba…
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Jiwoon Ahn, Sunghyun Cho, Suha Kwak
This paper presents a novel approach for learning instance segmentation with image-level class labels as supervision. Our approach generates pseudo instance segmentation labels of…
Deep Metric Learning Beyond Binary Supervision
Sungyeon Kim, Minkyo Seo, Ivan Laptev +2
Metric Learning for visual similarity has mostly adopted binary supervision indicating whether a pair of images are of the same class or not. Such a binary indicator covers only a…
Universal Bounding Box Regression and Its Applications
Seungkwan Lee, Suha Kwak, Minsu Cho
Bounding-box regression is a popular technique to refine or predict localization boxes in recent object detection approaches. Typically, bounding-box regressors are trained to regr…