Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentationby Feilong Tang, Zhongxing Xu, Ming…
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learningby Chamani Shiranthika, Hadi Hadizadeh, Parvaneh…
Pitfalls of topology-aware image segmentationby Alexander H. Berger, Laurin Lux, Alexander Weers, Martin Menten, Daniel…
Automatic Image Annotation for Mapped Features Detectionby Maxime Noizet, Philippe Xu, Philippe BonnifaitFirst submitted to…
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in…
Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objectsby…
ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Modelby Kunyang Han, Yibo Hu,…
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentationby M.M.A. Valiuddin, R.J.G. van…
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in…
Visualizing Loss Functions as Topological Landscape Profilesby Caleb Geniesse, Jiaqing Chen, Tiankai Xie, Ge Shi,…