Don’t want Meta using your IG photos for AI? Here’s what you can do

A new AI image generator is available on Instagram, capable of using photos and videos from any public account. On July 7, ...
eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
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 ...
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 ...
PNAS

A topological solution to object segmentation and tracking

Contributed by J. Anthony Movshon; received March 9, 2022; accepted July 23, 2022; reviewed by Christos Papadimitriou and Qasim Zaidi This contribution is part of the special series of Inaugural ...