The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...

Abstract: Chest radiography remains a frontline imaging modality for rapid, low-cost screening and monitoring of pulmonary disease worldwide. This paper presents AC-CXR, a unified deep learning ...

@InProceedings{Saijo2024_TFLoco, author = {Saijo, Kohei and Wichern, Gordon and Germain, Fran\c{c}ois G. and Pan, Zexu and {Le Roux}, Jonathan}, title = {TF-Locoformer: Transformer with Local Modeling ...

Medical image segmentation is vital for accurate diagnosis. While U-Net-based models are effective, they struggle to capture long-range dependencies in complex anatomy. We propose GH-UNet, a ...

The robustness and generalization of medical image segmentation models are being challenged by the differences between different disease types, different image types, and different cases.Deep learning ...

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...

Convolution filters are a fundamental building block in image processing and computer vision. They are used to extract specific features from an image by applying a small matrix of numbers, called the ...

A previously unknown Chinese hacking group known as 'Space Pirates' targets enterprises in the Russian aerospace industry with phishing emails to install novel malware on their systems. The threat ...

Abstract: Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standard pedestrians, the performance on ...