Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Abstract: Accurate detection of small targets is crucial for improving traffic efficiency in road safety scenes. To address the issues of high missed detection rates and insufficient bounding box ...
Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...
Abstract: In the application scenario of automatic segmentation diagnosis for dental lesions, the focus of semantic segmentation tasks lies in how to design a lightweight segmentation network enabling ...
Abstract: Wildfires are a growing concern due to their catastrophic impacts on the environment, ecosystem services, biodiversity, and human settlements. Different fire detection systems face ...
Abstract: Image processing has become one of the popular neuromorphic computing applications in recent years. Most of the application areas require an efficient and real time image processing system.
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