WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...
Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
Abstract: The “others” category in multimodal remote sensing images is characterized by high intraclass variability. Therefore, the existing lightweight semantic segmentation models struggle with this ...
Abstract: Natural images are often degraded by complex, composite degradations such as rain, snow, and haze, which adversely impact downstream vision applications. While existing image restoration ...
Ashley St. Clair, the mother of one of Elon Musk’s children, sued Musk’s xAI on Wednesday, alleging that the company’s AI chatbot Grok generated sexually explicit deepfake images of her without her ...
'No honor among thieves' Epstein survivor reacts to Ghislaine Maxwell's offer to testify in exchange for clemency ...
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 ...
Abstract: Hyperspectral image classification (HSIC) is crucial in several fields, but relies on a large number of labeled samples. Due to the high cost of manual annotation and the scarcity of samples ...
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