Texture-Aware Causal Feature Extraction Network for Multimodal Remote Sensing Data Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3368091
Abstract: The pixel-level classification of multimodal remote sensing (RS) images plays a crucial role in the intelligent interpretation of RS data. However, existing methods that mainly focus on feature interaction and fusion fail to address the… read more here.
Keywords: classification; feature extraction; remote sensing; causal feature ... See more keywords
Out-of-Distribution Generalization With Causal Feature Separation
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DOI: 10.1109/tkde.2023.3312255
Abstract: Driven by empirical risk minimization, machine learning algorithm tends to exploit subtle statistical correlations existing in the training environment for prediction, while the spurious correlations are unstable across environments, leading to poor generalization performance. Accordingly,… read more here.
Keywords: distribution; feature separation; causal feature; generalization ... See more keywords
Multi-Source Causal Feature Selection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2908373
Abstract: Causal feature selection has attracted much attention in recent years, as the causal features selected imply the causal mechanism related to the class attribute, leading to more reliable prediction models built using them. Currently there… read more here.
Keywords: causal; causal feature; feature selection; multi source ... See more keywords