Category: Semantic 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 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. ...

In this article, we use different Torchvision backbones for creating DeepLab segmentation models and train it on the Pascal VOC semantic segmentation dataset. ...