Image Models

MetaNeXt

Introduced by Yu et al. in InceptionNeXt: When Inception Meets ConvNeXt

MetaNeXt is a meta-architecture abstracted from ConvNeXt, which can be regarded as a simpler version obtained from MetaFormer by merging token mixer and MLP into one.

Source: InceptionNeXt: When Inception Meets ConvNeXt

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Image Classification 1 50.00%
Semantic Segmentation 1 50.00%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories