63 citations · 66 across the 5 of their papers we have counts for
5 papers
CV-DCLR: Causal-Visual Dynamic Label Refinement for Robust Zero-Shot Learning
Can Wang, Jiangnan Li, Mingyu Li +4
Zero-Shot Learning (ZSL) facilitates knowledge transfer via shared semantic spaces. However, a critical bottleneck in this paradigm is Semantic Entanglement, where visual represent…
MGCR-Net:Multimodal Graph-Conditioned Vision-Language Reconstruction Network for Remote Sensing Change Detection
Chengming Wang, Guodong Fan, Jinjiang Li +2
With the advancement of remote sensing satellite technology and the rapid progress of deep learning, remote sensing change detection (RSCD) has become a key technique for regional…
Diffusion Disambiguation Models for Partial Label Learning
Jinfu Fan, Xiaohui Zhong, Kangrui Ren +4
Learning from ambiguous labels is a long-standing problem in practical machine learning applications. The purpose of \emph{partial label learning} (PLL) is to identify the ground-t…
FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder
Zheng Cheng, Guodong Fan, Jingchun Zhou +2
Underwater images often suffer from various issues such as low brightness, color shift, blurred details, and noise due to light absorption and scattering caused by water and suspen…
Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancement
Zishu Yao, Guodong Fan, Jinfu Fan +2
Low-light remote sensing images generally feature high resolution and high spatial complexity, with continuously distributed surface features in space. This continuity in scenes le…