Hottest Instance Segmentation models (Subcategory)

Top Hottest 14 Models for Instance Segmentation · 4/22/2025

Instance segmentation is a subcategory of computer vision that involves identifying and segmenting individual objects within an image or video, while also classifying them into predefined categories. Key features include the ability to distinguish between multiple objects of the same class, and to generate precise pixel-level masks for each instance. Common applications include object detection in self-driving cars, medical image analysis, and surveillance systems. Notable advancements include the development of Mask R-CNN and PointRend architectures, which have achieved state-of-the-art performance in instance segmentation tasks, and the use of deep learning techniques to improve accuracy and efficiency.