4 citations · 4 across the 3 of their papers we have counts for
3 papers
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
Zhenzhen Wang, Carla Saoud, Sintawat Wangsiricharoen +3
Annotating cancerous regions in whole-slide images (WSIs) of pathology samples plays a critical role in clinical diagnosis, biomedical research, and machine learning algorithms dev…
Attention-Aware Noisy Label Learning for Image Classification
Zhenzhen Wang, Chunyan Xu, Yap-Peng Tan +1
Deep convolutional neural networks (CNNs) learned on large-scale labeled samples have achieved remarkable progress in computer vision, such as image/video classification. The cheap…
Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing
Zhenzhen Wang, Weixiang Hong, Junsong Yuan
Deep hashing has shown promising results in image retrieval and recognition. Despite its success, most existing deep hashing approaches are rather similar: either multi-layer perce…