55 citations · 62 across the 9 of their papers we have counts for
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cs.CV2021
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation
Jeongbeen Yoon, Dahyun Kang, Minsu Cho
Semi-supervised domain adaptation (SSDA) is to adapt a learner to a new domain with only a small set of labeled samples when a large labeled dataset is given on a source domain. In…
cs.CV2021
Relational Embedding for Few-Shot Classification
Dahyun Kang, Heeseung Kwon, Juhong Min +1
We propose to address the problem of few-shot classification by meta-learning "what to observe" and "where to attend" in a relational perspective. Our method leverages relational p…
cs.CV2021★ 55 cited
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min, Dahyun Kang, Minsu Cho
Few-shot semantic segmentation aims at learning to segment a target object from a query image using only a few annotated support images of the target class. This challenging task r…