Abstract: The blast bulk rate is a critical indicator of blasting effectiveness in open-pit mining, and its accurate measurement primarily depends on the precision of blast pile ore image segmentation ...

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Early image segmentation was mainly ...

Abstract: Propagation-based methods have drawn increasing research attention in interactive medical image segmentation. However, existing propagation-based methods face two significant challenges: 1) ...

This project evaluates 6 Explainable AI (XAI) methods in the context of semantic segmentation for autonomous driving. The evaluation is divided into three phases: Phase 1: Model application using ...

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...

The remarkable performance of large multimodal models (LMMs) has attracted significant interest from the image segmentation community. To align with the next-token-prediction paradigm, current ...

This paper was just accepted at CVPR 2025. In short, CASS is as an elegant solution to Object-Level Context in open-world segmentation. They outperform several training-free approaches and even ...

1 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China 2 School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing, China LiDAR ...