We propose a deep learning (DL) enabled multi-step spatio-temporal IP traffic streams prediction framework in IP-over-WDM-based backbone optical networks. The experimental results show that it greatly ...

Unreasonable iteration number and step-size setting limit the performance of adversarial attacks. To deal with this issue, we propose a variable step-size double-iteration (VSDI) white-box attack. Due ...

computer-vision deep-learning neural-network end-to-end pytorch artificial-intelligence satellite-imagery image-segmentation unet semantic-segmentation ml-project machine-learning-projects ai-project ...

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer: Use Kaolin's DIB-R rasterizer, camera functions and Timelapse for 3D checkpoints. Neural Geometric Level of Detail: ...