In this article, we simply the semantic segmentation (pixel classification) head of the DINOv2 model and carry out experiments comparing fine-tuning and transfer learning. ...

In this article, we modify the DINOv2 model for semantic segmentation, freeze the backbone, and train the model on the Penn-Fudan Pedestrian segmentation dataset. ...

In this article, we train DINOv2 Small Patch-14 model for image classification on a cotton disease and compare the results between fine-tuning and transfer learning. ...

In this article, we explore how several foundation models in VLMs, Image Segmentation, and multi-modal models like CLIP help in open-ended class agnostic segmentation and detection tasks. ...

In this article, we explore the DINOv2 Self-Supervised Computer Vision model for image classification, video classification, semantic segmentation, and depth estimation. ...