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5 papers · 2 filters
FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion
DaiXun Li, Weiying Xie, Yunsong Li +1
Multi-satellite, multi-modality in-orbit fusion is a challenging task as it explores the fusion representation of complex high-dimensional data under limited computational resource…
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision
Cong Duan, Zixuan Liu, Jiahao Xia +3
Deep neural networks enable real-time monitoring of in-vehicle drivers, facilitating the timely prediction of distractions, fatigue, and potential hazards. This technology is now i…
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering
Yifan Dong, Suhang Wu, Fandong Meng +4
Multi-modal keyphrase generation aims to produce a set of keyphrases that represent the core points of the input text-image pair. In this regard, dominant methods mainly focus on m…
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection
Jitao Ma, Weiying Xie, Yunsong Li +1
Hyperspectral anomaly detection (HAD) is widely used in Earth observation and deep space exploration. A major challenge for HAD is the complex background of the input hyperspectral…
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models
Ning Chen, Jun Yue, Leyuan Fang +1
Hyperspectral Image (HSI) classification is an important issue in remote sensing field with extensive applications in earth science. In recent years, a large number of deep learnin…