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Youngki Park and Youhyun Shin
In this paper, we introduce an efficient approach to multi-label image classification that is particularly suited for scenarios requiring rapid adaptation to new classes with minimal training data. Unlike conventional methods that rely solely on neural n...
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Congyu Jiao, Fanjie Meng, Tingxuan Li and Ying Cao
Single image deraining (SID) has shown its importance in many advanced computer vision tasks. Although many CNN-based image deraining methods have been proposed, how to effectively remove raindrops while maintaining background structure remains a challen...
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Sai Sambasiva Rao Bairaboina and Srinivasa Rao Battula
White blood cells (WBCs) must be evaluated to determine how well the human immune system performs. Abnormal WBC counts may indicate malignancy, tuberculosis, severe anemia, cancer, and other serious diseases. To get an early diagnosis and to check if WBC...
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Afamefuna Promise Umejiaku, Prastab Dhakal and Victor S. Sheng
The COVID-19 pandemic has been a major global concern in the field of respiratory diseases, with healthcare institutions and partners investing significant resources to improve the detection and severity assessment of the virus. In an effort to further e...
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Marco Mastrofini, Ivan Agostinelli and Fabio Curti
The present work focuses on the investigation of an artificial intelligence (AI) algorithm for brightest objects segmentation in night sky images? field of view (FOV). This task is mandatory for many applications that want to focus on the brightest objec...
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