5 papers
Boosting Ultrasound Image Classification via Attribute-Guided Dual-Branch Framework
Bo Zhao, Yapeng Li, Juhua Liu +1
Ultrasound image classification is essential for computer-aided diagnosis. However, current methods often neglect clinical priors, leading to poor generalization in challenging sce…
PolarMAE: Efficient Fetal Ultrasound Pre-training via Semantic Screening and Polar-Guided Masking
Meng Lv, Yapeng Li, Hang Su +2
Intelligent fetal ultrasound (US) interpretation is crucial for prenatal diagnosis, but high annotation costs and operator-induced variance make unsupervised pre-training a highly…
Class Similarity-Based Multimodal Classification under Heterogeneous Category Sets
Yangrui Zhu, Junhua Bao, Yipan Wei +2
Existing multimodal methods typically assume that different modalities share the same category set. However, in real-world applications, the category distributions in multimodal da…
Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling
Yipan Wei, Yuchen Zou, Yapeng Li +1
Federated Multi-Task Learning (FMTL) enables multiple clients performing heterogeneous tasks without exchanging their local data, offering broad potential for privacy preserving mu…
MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
Yapeng Li, Yong Luo, Lefei Zhang +2
Transformer has been extensively explored for hyperspectral image (HSI) classification. However, transformer poses challenges in terms of speed and memory usage because of its quad…