4 papers
RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
Chenhao Wang, Yingrui Ji, Yu Meng +2
Out-of-distribution (OOD) detection represents a critical challenge in remote sensing applications, where reliable identification of novel or anomalous patterns is essential for au…
GLD-Road:A global-local decoding road network extraction model for remote sensing images
Ligao Deng, Yupeng Deng, Yu Meng +4
Road networks are crucial for mapping, autonomous driving, and disaster response. While manual annotation is costly, deep learning offers efficient extraction. Current methods incl…
DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment
Weizhi Chen, Yupeng Deng, Jin Wei +7
Vision Language Foundation Models based on CLIP architecture for remote sensing primarily rely on short text captions, which often result in incomplete semantic representations. Al…
SayAnything: Audio-Driven Lip Synchronization with Conditional Video Diffusion
Junxian Ma, Shiwen Wang, Jian Yang +6
Recent advances in diffusion models have led to significant progress in audio-driven lip synchronization. However, existing methods typically rely on constrained audio-visual align…