78 citations · 80 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
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…
cs.LG2019★ 78 cited
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon, Jun Seo, Jaekyun Moon
Handling previously unseen tasks after given only a few training examples continues to be a tough challenge in machine learning. We propose TapNets, neural networks augmented with…
cs.LG2018★ 1 cited
Meta-Learner with Linear Nulling
Sung Whan Yoon, Jun Seo, Jaekyun Moon
We propose a meta-learning algorithm utilizing a linear transformer that carries out null-space projection of neural network outputs. The main idea is to construct an alternative c…