Abstract: Few-shot object detection achieves rapid detection of novel-class objects by training detectors with a minimal number of novel-class annotated instances. Transfer learning-based few-shot ...
Explicit High-Level Semantic Network for Domain Generalization in Hyperspectral Image Classification
Abstract: When applied across different scenes, hyperspectral image (HSI) classification models often struggle to generalize due to the data distribution disparities and labels’ scarcity, leading to ...
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