78 citations · 84 across the 12 of their papers we have counts for
4 papers · 1 filter
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
Jungwuk Park, Dong-Jun Han, Soyeong Kim +1
In domain generalization (DG), the target domain is unknown when the model is being trained, and the trained model should successfully work on an arbitrary (and possibly unseen) ta…
Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation
Jun Seo, Young-Hyun Park, Sung Whan Yoon +1
Few-shot learning allows machines to classify novel classes using only a few labeled samples. Recently, few-shot segmentation aiming at semantic segmentation on low sample data has…
Task-Adaptive Feature Transformer for Few-Shot Segmentation
Jun Seo, Young-Hyun Park, Sung-Whan Yoon +1
Few-shot learning allows machines to classify novel classes using only a few labeled samples. Recently, few-shot segmentation aiming at semantic segmentation on low sample data has…
CAFENet: Class-Agnostic Few-Shot Edge Detection Network
Young-Hyun Park, Jun Seo, Jaekyun Moon
We tackle a novel few-shot learning challenge, which we call few-shot semantic edge detection, aiming to localize crisp boundaries of novel categories using only a few labeled samp…