Category: Image Segmentation

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 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 will be pretraining a semantic segmentation model on the COCO dataset and run inference to analyze the results. ...

In this article, we explore Fast Segment Anything, a CNN based alternative approach to the original Transformer based Segment Anything Model. ...