Ordinal Semantic Segmentation for Medical & Dental Imaging
Discover how ordinal semantic segmentation improves accuracy in medical and dental image analysis using advanced deep learning loss functions.
DS-MoE: LLM-Driven Dynamic Sparse Expert Activation
Discover DS-MoE, a dynamic sparse expert activation model driven by large language models for superior visual recognition and real-time inference.
Contextual Inference from Single Objects in Vision-Language AI
Explore how vision-language models infer scene context from single objects, enhancing AI robustness and human-like perception accuracy.
Multi-View GCN with Granular-Ball Topology & Fusion
Discover MGCN-FLC: a novel multi-view graph convolutional network leveraging granular-ball topology, feature enhancement, and interactive fusion for superi...
AI Governance and Risk Intelligence for Agentic Workloads
Discover how AI Risk Intelligence (AIRI) enhances governance, compliance, and risk management for dynamic agentic AI workloads in modern enterprises.