2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Dina Bashkirova, Samarth Mishra, Diala Lteif +16
Label-efficient and reliable semantic segmentation is essential for many real-life applications, especially for industrial settings with high visual diversity, such as waste sortin…
cs.CV2022
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation
Daehan Kim, Minseok Seo, YoungJin Jeon +1
The Visual Domain Adaptation(VisDA) 2022 Challenge calls for an unsupervised domain adaptive model in semantic segmentation tasks for industrial waste sorting. In this paper, we in…