Case-based interpretable deep learning for ECG classification. This code implements ProtoECGNet from the following paper: "ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG ...

New research shows that the human brain automatically recognizes what actions an environment affords—like walking, climbing, ...

Abstract: Benefited from image-text contrastive ... features more robust and informative for multi-label recognition. For better PEFT, we further combine both prompt tuning and adapter learning to ...

Apple isn't rumored to have a true competitor that can handle live conversations and multi-modal support for ... the Accessibility Nutrition Labels will bring a new section to App Store product ...

Multimodal Multi-image Reasoning Benchmark (MMRB), the first benchmark designed to evaluate structured visual reasoning across multiple images. MMRB consists of 4,750 samples encompassing 68,882 ...

Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from ...