MogaNet
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moganet_xtiny_256_in1k

Image Classification

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by nielsr HF Staff - opened Jun 21

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 # Model card for moganet_xtiny_256_in1k
-MogaNet a new family of efficient ConvNets with preferable parameter-performance trade-offs, which is trained on ImageNet-1k (1 million images, 1,000 classes). It was first introduced in the paper [MogaNet](https://huggingface.co/papers/2211.03295) and released in [Westlake/MogaNet](https://github.com/Westlake-AI/MogaNet) and [Westlake/openmixup](https://github.com/Westlake-AI/openmixup).
 ## Description

 # Model card for moganet_xtiny_256_in1k
+MogaNet a new family of efficient ConvNets with preferable parameter-performance trade-offs, which is trained on ImageNet-1k (1 million images, 1,000 classes). It was first introduced in the paper [MogaNet: Multi-order Gated Aggregation Network](https://huggingface.co/papers/2211.03295) and released in [Westlake/MogaNet](https://github.com/Westlake-AI/MogaNet) and [Westlake/openmixup](https://github.com/Westlake-AI/openmixup).
 ## Description