Search Results for author:
Found 6 papers, 2 papers with code
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
To test the abilities of computer vision models on this task, we present the VisDA 2022 Challenge on Domain Adaptation for Industrial Waste Sorting.
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
In specific, we achieve domain mixup in two-step: cut and paste.
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation
The Visual Domain Adaptation(VisDA) 2022 Challenge calls for an unsupervised domain adaptive model in semantic segmentation tasks for industrial waste sorting.
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation
In this paper, we introduce source domain subset sampling (SDSS) as a new perspective of semi-supervised domain adaptation.
Masked Deep Q-Recommender for Effective Question Scheduling
Providing appropriate questions according to a student's knowledge level is imperative in personalized learning.
Diagnostic Assessment Generation via Combinatorial Search
Initial assessment tests are crucial in capturing learner knowledge states in a consistent manner.
