# ConvNeXt Backbone

UPerNet is a semantic segmentation model based on the ConvNeXt-Tiny architecture, suitable for image segmentation tasks.

UPerNet image segmentation model based on ConvNeXt architecture, suitable for semantic segmentation tasks

UperNet is a framework for semantic segmentation, utilizing ConvNeXt as the backbone network, capable of predicting semantic labels for each pixel.

UperNet is a semantic segmentation framework combined with the ConvNeXt large backbone network for pixel-level semantic label prediction.

UperNet is a framework for semantic segmentation that uses ConvNeXt as the backbone network and can predict semantic labels for each pixel.

UperNet is a framework for semantic segmentation that uses ConvNeXt as its backbone network, enabling pixel-level semantic label prediction.

UperNet is a framework for semantic segmentation that uses ConvNeXt as the backbone network, capable of predicting a semantic label for each pixel.