5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection
Hong Yang, William Gebhardt, Alexander G. Ororbia +1
Out-of-distribution (OOD) inputs can compromise the performance and safety of real world machine learning systems. While many methods exist for OOD detection and work well on small…
cs.CV2022★ 5 cited
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal
Hong Yang, Gongrui Nan, Mingbao Lin +4
This paper focuses on the limitations of current over-parameterized shadow removal models. We present a novel lightweight deep neural network that processes shadow images in the LA…