Universal Defect Generation Model with Large-Scale Dataset
Discover UniDG, a universal defect generation model using a 300K dataset for improved defect editing and anomaly detection without fine-tuning.
Ge2mS-T: Ultra-Efficient Spiking Transformer Grouping
Discover Ge2mS-T, a novel multi-dimensional grouping method boosting energy efficiency in Spiking Vision Transformers with superior performance.
Adaptive Dual Residual U-Net for Accurate Glioma Segmentation
Discover ADRUwAMS, an advanced U-Net model with attention gates and multiscale spatial attention for precise glioma tumor detection and segmentation.
Causal Inference in Graph Representation Learning Explained
Explore how causal inference enhances graph representation learning by addressing aggregation challenges and improving model validity.
HM-Bench: Benchmarking Multimodal LLMs for Hyperspectral Imaging
Discover HM-Bench, the first benchmark evaluating multimodal large language models on hyperspectral remote sensing data for advanced spectral analysis.