IEEE

More Than Lightening: A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations

Abstract: Low-light images suffer from low quality due to poor lighting conditions, noise pollution, and improper settings of cameras. To enhance low-light images, most existing methods rely on normal ...
IEEE

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier Is All You Need

Abstract: Weakly supervised whole slide image classification is usually formulated as a multiple instance learning (MIL) problem, where each slide is treated as a bag, and the patches cut out of it ...
GitHub

HiDeoo/starlight-image-zoom

Want to get started immediately? Check out the getting started guide or check out the demo to see the plugin in action.
Business Wire

ADDING MULTIMEDIA Learning Math with Robotics™: Barobo Expands TK–12 Mathematics, Intervention, Computer Science, and STEAM Pathways

DAVIS, Calif.--(BUSINESS WIRE)--Barobo, Inc., developer of the Linkbot™ educational robot and RoboBlocky™ learning platform, continues to expand comprehensive TK–12 pathways in mathematics, math ...
Morningstar

ADDING MULTIMEDIA Learning Math with Robotics™: Barobo Expands TK–12 Mathematics, Intervention, Computer Science, and STEAM Pathways | Morningstar

Barobo, Inc., developer of the Linkbot™ educational robot and RoboBlocky™ learning platform, continues to expand comprehensive TK–12 pathways in mathematics, math intervention, computer science, and ...
GitHub

AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation

AnyStory is a unified approach for personalized subject generation. It not only achieves high-fidelity personalization for single subjects, but also for multiple subjects, without sacrificing subject ...