3 accepted papers
Multivariate long-term time series forecasting is a challenging task, that analyzes historical data across multiple variables to predict future data. To solve this problem, we proposed a new ChannelMixer model that combines channel dependency and channel independency learning strategies. In channel…
Change detection in synthetic aperture radar (SAR) images is a hot yet highly challenging task in remote sensing. Existing unsupervised SAR change detection methods often struggle with inherent speckle noise and insufficiently utilize pseudo-labels, particularly neglecting uncertain areas. In this p…
Breast ultrasound (BUS) is an effective imaging modality for breast cancer diagnosis. The structural characteristics of breast lesions play an important role in computer-aided diagnosis. In this paper, a novel structure-aware triplet path network (SATPN) was designed to integrate classification and…