40 citations · 52 across the 5 of their papers we have counts for
5 papers
Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations
Juan Wang, Bin Xia
Weakly supervised image segmentation approaches in the literature usually achieve high segmentation performance using tight bounding box supervision and decrease the performance gr…
Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations
Juan Wang, Bin Xia
This study investigates weakly supervised image segmentation using loose bounding box supervision. It presents a multiple instance learning strategy based on polar transformation t…
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation
Juan Wang, Bin Xia
This paper presents a weakly supervised image segmentation method that adopts tight bounding box annotations. It proposes generalized multiple instance learning (MIL) and smooth ma…
CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep Learning
Juan Wang, Bin Xia
The cup-to-disc ratio (CDR) is one of the most significant indicator for glaucoma diagnosis. Different from the use of costly fully supervised learning formulation with pixel-wise…
Voiceprint recognition of Parkinson patients based on deep learning
Zhijing Xu, Juan Wang, Ying Zhang +1
More than 90% of the Parkinson Disease (PD) patients suffer from vocal disorders. Speech impairment is already indicator of PD. This study focuses on PD diagnosis through voiceprin…