#data augmentation

A hands-on guide to advanced computer vision workflows using TorchVision v2 transforms, MixUp/CutMix augmentation, a modern attention-equipped CNN architecture, and robust training practices.

GenSeg is a novel generative AI framework that significantly enhances medical image segmentation performance in scenarios with limited labeled data by creating optimized synthetic datasets.

Master-RM is a new reward model designed to fix vulnerabilities in LLM-based evaluators by reducing false positives caused by superficial cues, ensuring more reliable reinforcement learning outcomes.