Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
Abstract: Convolutional neural networks (CNNs) and transformers have demonstrated remarkable capabilities in capturing spatial–spectral contextual dependencies, making them widely applicable for ...
Abstract: Audio-visual zero-shot learning (ZSL) leverages both video and audio information for model training, aiming to classify new video categories that were not seen during the training. However, ...