A deep learning model that combines ConvNeXt and Graph Convolutional Networks (GCN) for accurate cotton disease classification. This hybrid architecture leverages both traditional convolutional ...

Hi, Is there any interest in adding the ConvNeXt architecture to MONAI? It is a modern version of a ConvNet using current best practices based on this paper: ... Add ConvNeXt model architecture #4798.

This is where ConvNeXt V2 comes into play. It is a co-design architecture that uses the masked autoencoder in the ConvNeXt framework to achieve results similar to those obtained using transformers. It ...

This latest version of the CGC compiler fully handles all the graph operators found in ConvNext, meaning that we are able to take model sources directly from the model repo on the web and ...

The burgeoning field of the Industrial Internet of Things (IIoT) necessitates advanced fault diagnosis methods capable of navigating the dual challenges of high-predictive accuracy and the constraints ...