2 citations · 3 across the 4 of their papers we have counts for
4 papers
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks
Yaoru Luo, Guole Liu, Yuanhao Guo +1
Supervised training of deep neural networks (DNNs) by noisy labels has been studied extensively in image classification but much less in image segmentation. Our understanding of th…
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation
Yaoru Luo, Guole Liu, Yuanhao Guo +1
How deep neural networks (DNNs) learn from noisy labels has been studied extensively in image classification but much less in image segmentation. So far, our understanding of the l…
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Cong Chen, Shouyang Dong, Ye Tian +3
This paper focuses on Semi-Supervised Object Detection (SSOD). Knowledge Distillation (KD) has been widely used for semi-supervised image classification. However, adapting these me…
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion
Yuanhao Guo, Fons J. Verbeek, Ge Yang
Robust and accurate camera calibration is essential for 3D reconstruction in light microscopy under circular motion. Conventional methods require either accurate key point matching…