Semantic Segmentation

Semantic segmentation is the process of classifying each pixel in an image into a specific category or class. This is a crucial task in computer vision, as it allows for a more detailed understanding of the scene and can be used in various applications, such as autonomous driving, medical imaging, and image editing.

• BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
• ICNet for Real-Time Semantic Segmentation on High-Resolution Images
• Indoor Semantic Segmentation using depth information
• SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
• Segment Anything