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20222026
most citedFIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

10 citations · 14 across the 8 of their papers we have counts for

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2 papers · 1 filter

cs.LG2022★ 3 cited

Combating Label Distribution Shift for Active Domain Adaptation

Sehyun Hwang, Sohyun Lee, Sungyeon Kim +2

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. Inspired by recent a…

cs.CV2022★ 10 cited

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

Sohyun Lee, Taeyoung Son, Suha Kwak

Robust visual recognition under adverse weather conditions is of great importance in real-world applications. In this context, we propose a new method for learning semantic segment…