5 days ago · Simonyan, K., & Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556. He, K., Zhang, X ...

4 days ago · Our method uses two Convolutional Neural Networks (CNNs) as candidate models of the ventral visual stream: the CORnet-S that has high neural predictivity in ...

2 days ago · Karen Simonyan (Google-DeepMind & Oxford) at ICLR 2015 Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan, Andrew Zisserman ...

5 days ago · This deep architecture allows the network to learn intricate patterns and representations, making it extremely powerful for image classification tasks. Detailed ...

21 hours ago · Simonyan, K., & Zisserman, A. (2015). Very deep convolutional networks for large-scale image recognition. 3rd International Conference on Learning ...

4 days ago · Transfer learning is performed with pre-trained models, typically large Convolutional Neural Networks (CNNs) that are pre-trained on large standard benchmark ...

5 days ago · Karen Simonyan, Andrew Zisserman (2015). Very Deep Convolutional Networks for Large-Scale Image Recognition. In Proceedings of the 3rd International Confer-.

3 days ago · Convolutional neural networks. (CNNs) are a representative image recognition technology and one aspect of deep learning. In this study, we evaluated a CNN that ...

2 days ago · Convolutional neural networks (CNN) [11, 12] are often used in small-footprint KWS systems [2,3] to yield better performance with smaller models. Connectionist ...

4 days ago · In order to achieve great performance, CNNs have grown deeper, incorporating numerous layers. However, this depth results in a huge number of parameters, which ...