Meet ConvNeXt V2: An AI Model That Improves the Performance and Scalability of ConvNets Using Compelling Autoencoders
The field of computer vision has made great progress in the past decade, and this progress can mainly be attributed to the emergence of convolutional neural networks (CNNs). CNN’s impeccable 2D data processing capabilities, thanks to its hierarchical feature extraction mechanism, was a major factor behind its success. Modern CNNs have come a long way … Read more