Abstract: Visual retrieval tasks such as image retrieval and person re-identification (Re-ID) aim at effectively and thoroughly searching images with similar content or the same identity. After ...

Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...

Visual inspection has become popular for railway track fault identification. However, the current vision models still have limitations in identifying defects in complex backgrounds due to the ...

If the convolution step confuses you, this clear, visual explanation will finally make it click. #ConvolutionOperation #CNNBasics #AIExplained Trump announces two new national holidays, including one ...

Abstract: Convolutional Neural Networks (CNNs) and Transformer are two powerful representation learning techniques for visual tracking. Although CNNs can effectively reduce local redundancy via ...

In seismic exploration, dense and evenly spatial sampled seismic traces are crucial for successful implementation of most seismic data processing and interpretation algorithms. Recently, numerous ...

Creating high-quality polygonal meshes which represent the membrane surface of neurons for both visualization and numerical simulation purposes is an important yet nontrivial task, due to their ...

@article{guo2022visual, title={Visual Attention Network}, author={Guo, Meng-Hao and Lu, Cheng-Ze and Liu, Zheng-Ning and Cheng, Ming-Ming and Hu, Shi-Min}, journal={arXiv preprint arXiv:2202.09741}, ...