Combining ResNets and ViTs has emerged as a promising direction in computer vision, offering the potential to leverage the strengths of both architectures and achieve even higher performance. ResNets (Residual Networks) have long been a mainstay in image classification and object detection tasks due to their ability to train deep networks effectively, while Vision Transformers … Read more
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The field of deep learning has been revolutionized by the introduction of transformer models, such as Vision Transformer (ViT), and convolutional neural networks (CNNs), such as ResNet, which have achieved state-of-the-art results on a wide range of computer vision tasks. Recent research has shown that combining these two architectures can lead to even better performance. … Read more
