Segmentation has quietly become one of the most useful tools in modern tech. Whether it’s helping doctors analyze medical images, powering AR effects, tracking objects, or making photo editing smarter, segmentation plays a key role behind the scenes. By identifying and isolating objects or regions within an image, it unlocks powerful capabilities that enhance user experiences across industries. Businesses leverage segmentation in a variety of ways: beauty and fashion apps use it for virtual...| It-Jim
Carrying out DINOv2 segmentation experiments for fine-tuning and transfer learning and comparing the results.| DebuggerCafe
Modifying the DINOv2 model for semantic segmentation and training the model on the Penn-Fudan Pedestrian Segmentation Dataset.| DebuggerCafe
This article explores the history of self-supervised learning, introduces DINO Self-Supervised Learning, and shows how to fine-tune DINO for road segmentation| LearnOpenCV – Learn OpenCV, PyTorch, Keras, Tensorflow with code, & tutorials
In this article, we will be fine tuning the LRASPP MobileNetV3 segmentation model on the KITTI dataset with two different approaches and compare the results.| DebuggerCafe