MSH-Net: Modality-Shared Hallucination With Joint Adaptation Distillation for Remote Sensing Image Classification Using Missing Modalities
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3265650
Abstract: Learning-based multimodal data has attracted increasing interest in the remote sensing community owing to its robust performance. Although it is preferable to collect multiple modalities for training, not all of them are available in practical… read more here.
Keywords: msh net; remote sensing; hallucination; modality shared ... See more keywords
UGaitNet: Multimodal Gait Recognition With Missing Input Modalities
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2021.3132579
Abstract: Gait recognition systems typically rely solely on silhouettes for extracting gait signatures. Nevertheless, these approaches struggle with changes in body shape and dynamic backgrounds; a problem that can be alleviated by learning from multiple modalities.… read more here.
Keywords: modalities ugaitnet; missing modalities; input modalities; gait recognition ... See more keywords
D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation With Missing Modalities
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3175478
Abstract: Multi-modal Magnetic Resonance Imaging (MRI) can provide complementary information for automatic brain tumor segmentation, which is crucial for diagnosis and prognosis. While missing modality data is common in clinical practice and it can result in… read more here.
Keywords: network; modality; segmentation; missing modalities ... See more keywords