Abstract: Accurate classification of otoscopic ear images is crucial for early diagnosis of ear pathologies such as Chronic Otitis Media, Earwax Plug, and Myringosclerosis. In this study, we propose a ...
Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...
Abstract: Breast cancer classification through mammogram images plays a vital role in supporting early detection and diagnosis. However, the nature complexity of mammographic data such as class ...
Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
CNN’s Jake Tapper reports. Why 7 GOP senators voted against bill to keep government open past Friday Weight-loss drugs draw thousands of lawsuits alleging serious harm Rob Schneider's wife files for ...
A version of this story appeared in CNN’s What Matters newsletter. To get it in your inbox, sign up for free here. On the one hand, the state of Minnesota and the Twin Cities are suing to stop “a ...
Abstract: Once deployed, medical image analysis methods are often faced with unexpected image corruptions and noise perturbations. These unknown covariate shifts present significant challenges to deep ...
Abstract: Hyperspectral image (HSI) classification demands models that can jointly capture long-range spatial relations and high-dimensional spectral structures while remaining scalable to large ...
Elon Musk’s Grok artificial intelligence chatbot will no longer edit “images of real people in revealing clothing” on the X platform, the company confirmed Wednesday evening, following global outrage ...
Abstract: Fine-grained flower image classification (FGFIC) is challenging due to high similarities among species and variations within species, especially with limited training data. Existing genetic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results