IEEE

Decomposition-Based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation

Abstract: Unsupervised domain adaptation (UDA) techniques are vital for semantic segmentation in geosciences, effectively utilizing remote sensing imagery across diverse domains. However, most ...
Frontiers

Advanced AI for missing modality learning and uncertainty‑aware medical image analysis

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
IT-Online

Data Scientist (Python, Machine Learning, LLMs) – (In Office) CPT – Western Cape Cape Town

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...
GitHub

Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
IEEE

A Superpixel-Guided Unsupervised Fast Semantic Segmentation Method of Remote Sensing Images

Abstract: Semantic segmentation is one of the fundamental tasks of pixel-level remote sensing image analysis. Currently, most high-performance semantic segmentation methods are trained in a supervised ...