3 papers
cs.CV2026
LegoQ: Density-Matrix Representation Learning with Spectral-Spatial State Transitions for Hyperspectral Classification
Weijia Cao, Xiaofei Yang, Fu Wang +2
Hyperspectral image classification is complicated by mixed pixels, spectral ambiguity, class imbalance, and limited annotations. Most current classifiers encode a pixel or patch as…
cs.CV2025
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification
Weijia Cao, Xiaofei Yang, Yicong Zhou +1
Hyperspectral image classification presents challenges due to spectral redundancy and complex spatial-spectral dependencies. This paper proposes a novel framework, DCT-Mamba3D, for…
cs.CV2025
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation
Jiaxin Cheng, Zixu Zhao, Tong He +3
Recent advancements in generative models have significantly enhanced their capacity for image generation, enabling a wide range of applications such as image editing, completion an…