-
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Few-Shot Learning (FSL) aims to improve a model's generalization capabil...
11/19/2020 ∙ by Meng Ye, et al. ∙
11
∙
share
read it
-
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data
The 3D volumetric shape of the heart's left ventricle (LV) myocardium (M...
08/18/2020 ∙ by Meng Ye, et al. ∙
16
∙
share
read it
-
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
Zero-shot learning transfers knowledge from seen classes to novel unseen...
08/07/2018 ∙ by Meng Ye, et al. ∙
0
∙
share
read it
-
Self-Training Ensemble Networks for Zero-Shot Image Recognition
Despite the advancement of supervised image recognition algorithms, thei...
05/18/2018 ∙ by Meng Ye, et al. ∙
0
∙
share
read it
-
Deep Triplet Ranking Networks for One-Shot Recognition
Despite the breakthroughs achieved by deep learning models in convention...
04/19/2018 ∙ by Meng Ye, et al. ∙
0
∙
share
read it
