2 citations · 5 across the 13 of their papers we have counts for
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cs.CV2024
Masked Image Modeling Boosting Semi-Supervised Semantic Segmentation
Yangyang Li, Xuanting Hao, Ronghua Shang +1
In view of the fact that semi- and self-supervised learning share a fundamental principle, effectively modeling knowledge from unlabeled data, various semi-supervised semantic segm…
cs.CV2024★ 2 cited
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation
Jie Feng, Tianshu Zhang, Junpeng Zhang +4
Unsupervised domain adaptation techniques, extensively studied in hyperspectral image (HSI) classification, aim to use labeled source domain data and unlabeled target domain data t…
cs.CV2024★ 2 cited
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection
Jie Feng, Xiaojian Zhong, Di Li +3
Band selection plays a crucial role in hyperspectral image classification by removing redundant and noisy bands and retaining discriminative ones. However, most existing deep learn…