2 papers
cs.LG2026
From Simple to Complex: Curriculum-Guided Physics-Informed Neural Networks via Gaussian Mixture Models
Jianan Yang, Yiran Wang, Shuai Li +3
Physics-informed neural networks (PINNs) offer a mesh-free framework for solving partial differential equations (PDEs), yet training often suffers from gradient pathologies, spectr…
cs.CV2024
SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector
Kaiyu Li, Xiangyong Cao, Yupeng Deng +4
Change Detection (CD) aims to identify pixels with semantic changes between images. However, annotating massive numbers of pixel-level images is labor-intensive and costly, especia…