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cs.CV2024
UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching
Qingxuan Lv, Junyu Dong, Yuezun Li +4
Despite recent advances in stereo matching, the extension to intricate underwater settings remains unexplored, primarily owing to: 1) the reduced visibility, low contrast, and othe…
eess.IV2024
Boosting Spatial-Spectral Masked Auto-Encoder Through Mining Redundant Spectra for HSI-SAR/LiDAR Classification
Junyan Lin, Xuepeng Jin, Feng Gao +2
Although recent masked image modeling (MIM)-based HSI-LiDAR/SAR classification methods have gradually recognized the importance of the spectral information, they have not adequatel…
cs.CV2024
High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation
Jinkun Jiang, Qingxuan Lv, Yuezun Li +4
Source-free Unsupervised Domain Adaptation (SFDA) aims to classify target samples by only accessing a pre-trained source model and unlabelled target samples. Since no source data i…