6 citations · 9 across the 4 of their papers we have counts for
4 papers
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…
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
Daehan Kim, Minseok Seo, Kwanyong Park +4
Mixup provides interpolated training samples and allows the model to obtain smoother decision boundaries for better generalization. The idea can be naturally applied to the domain…
Implicit Stacked Autoregressive Model for Video Prediction
Minseok Seo, Hakjin Lee, Doyi Kim +1
Future frame prediction has been approached through two primary methods: autoregressive and non-autoregressive. Autoregressive methods rely on the Markov assumption and can achieve…
Intermediate and Future Frame Prediction of Geostationary Satellite Imagery With Warp and Refine Network
Minseok Seo, Yeji Choi, Hyungon Ry +4
Geostationary satellite imagery has applications in climate and weather forecasting, planning natural energy resources, and predicting extreme weather events. For precise and accur…