DINOv2: Advancements in Self-Supervised Vision Learning

This research presentation delves into DINOv2, a pioneering approach in self-supervised learning tailored for vision processing. It explores advancements over previous methodologies, such as DINO and iBOT, emphasising the significance of diverse datasets and the integration of KoLeo for enhanced feature representation. High-resolution training and optimised efficiency are discussed, alongside practical applications in classification, segmentation, and benchmarking robustness. The talk...