28 citations · 40 across the 8 of their papers we have counts for
4 papers · 1 filter
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
Zhenyu Wu, Lin Wang, Wei Wang +4
Although weakly-supervised techniques can reduce the labeling effort, it is unclear whether a saliency model trained with weakly-supervised data (e.g., point annotation) can achiev…
Synthetic Data Supervised Salient Object Detection
Zhenyu Wu, Lin Wang, Wei Wang +4
Although deep salient object detection (SOD) has achieved remarkable progress, deep SOD models are extremely data-hungry, requiring large-scale pixel-wise annotations to deliver su…
Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation
Dong Liang, Jun Liu, Kuanquan Wang +3
The morphological changes in knee cartilage (especially femoral and tibial cartilages) are closely related to the progression of knee osteoarthritis, which is expressed by magnetic…
ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment
Xiangyu Li, Xinjie Liang, Gongning Luo +3
Neoadjuvant therapy (NAT) for breast cancer is a common treatment option in clinical practice. Tumor cellularity (TC), which represents the percentage of invasive tumors in the tum…