469 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Technology SydneyAU3 papers
- UNSW SydneyAU3 papers
- Australian Institute of Nuclear Science and EngineeringAU2 papers
- The University of AdelaideAU2 papers
- The University of SydneyAU2 papers
- Australian Centre for Robotic VisionAU1 paper
- Australian Institute of Policy and ScienceAU1 paper
- Beijing University of TechnologyCN1 paper
- Broad InstituteUS1 paper
- Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
- Center for Systems Biology DresdenDE1 paper
- Centre Inria de SaclayFR1 paper
4 papers · 1 filter
Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation
Yanyan Wang, Kechen Song, Yuyuan Liu +3
Semi-supervised 3D medical image segmentation aims to achieve accurate segmentation using few labelled data and numerous unlabelled data. The main challenge in the design of semi-s…
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection
Junfei Yi, Jianxu Mao, Tengfei Liu +5
Knowledge distillation (KD) is a widely adopted and effective method for compressing models in object detection tasks. Particularly, feature-based distillation methods have shown r…
Metrics reloaded: Recommendations for image analysis validation
Lena Maier-Hein, Annika Reinke, Patrick Godau +71
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume
Adrian Johnston, Gustavo Carneiro
Monocular depth estimation has become one of the most studied applications in computer vision, where the most accurate approaches are based on fully supervised learning models. How…