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cs.CV2021★ 1 cited
HAMIL: Hierarchical Aggregation-Based Multi-Instance Learning for Microscopy Image Classification
Yanlun Tu, Houchao Lei, Wei Long +1
Multi-instance learning is common for computer vision tasks, especially in biomedical image processing. Traditional methods for multi-instance learning focus on designing feature a…
cs.CV2020
AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss
Yanlun Tu, Jianxing Feng, Yang Yang
Self-supervised representation learning is an emerging research topic for its powerful capacity in learning with unlabeled data. As a mainstream self-supervised learning method, au…