This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...

Abstract: Intrinsic image decomposition decomposes an image into reflectance and shading. It has been applied in image editing, augmented reality, and geometry estimation. However, the complete ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

Abstract: Face morphing, as a digital image manipulation technique, is becoming increasingly prevalent, posing challenges in various fields, including biometric security, forensics, and identity ...