3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps
Zimeng Lyu, Alexander Ororbia, Rui Li +1
Parameter prediction is essential for many applications, facilitating insightful interpretation and decision-making. However, in many real life domains, such as power systems, medi…
cs.CV2023★ 3 cited
Feature Alignment and Uniformity for Test Time Adaptation
Shuai Wang, Daoan Zhang, Zipei Yan +2
Test time adaptation (TTA) aims to adapt deep neural networks when receiving out of distribution test domain samples. In this setting, the model can only access online unlabeled te…
cs.CV2022
Dilated Continuous Random Field for Semantic Segmentation
Xi Mo, Xiangyu Chen, Cuncong Zhong +3
Mean field approximation methodology has laid the foundation of modern Continuous Random Field (CRF) based solutions for the refinement of semantic segmentation. In this paper, we…