GitHub

microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image Classification

microCLIP is a lightweight self-training framework that adapts CLIP for fine-grained image classification without requiring labeled data. While CLIP is strong in zero-shot transfer, it primarily ...
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 ...
IEEE

Harnessing Text Insights With Visual Alignment for Medical Image Segmentation

Abstract: Pre-trained vision-language models (VLMs) and language models (LMs) have recently garnered significant attention due to their remarkable ability to represent textual concepts, opening up new ...
IEEE

Hyperbolic Geometry-Guided Unsupervised Domain Adaptive Semantic Segmentation in Remote Sensing

Abstract: Unsupervised domain adaptive semantic segmentation (UDA-SS) for remote sensing imagery remains challenging due to the substantial distribution shifts across regions and sensors. Existing ...