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 ...
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 ...