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awesome-mlp-papers
Recent Advances in MLP-based Models (MLP is all you need!)
https://github.com/haofanwang/awesome-mlp-papers
Last synced: 6 days ago
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MLP is all you Need (The topper, the newer!)
- UNeXt: MLP-based Rapid Medical Image Segmentation Network - maria-jose/UNeXt-pytorch), MICCAI 2022.
- MotionMixer: MLP-based 3D Human Body Pose Forecasting - Benz AG, [code](https://github.com/MotionMLP/MotionMixer), IJCAI 2022 Oral.
- MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing
- MAXIM: Multi-Axis MLP for Image Processing - Austin, 2022
- ConvMLP: Hierarchical Convolutional MLPs for Vision
- Axial-MLP for automatic segmentation of choroid plexus in multiple sclerosis - Inria, 2021
- Sparse-MLP: A Fully-MLP Architecture with Conditional Computation
- Hire-MLP: Vision MLP via Hierarchical Rearrangement
- RaftMLP: Do MLP-based Models Dream of Winning Over Computer Vision?
- S2-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
- CycleMLP: A MLP-like Architecture for Dense Prediction
- AS-MLP: An Axial Shifted MLP Architecture for Vision
- PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
- Global Filter Networks for Image Classification
- Rethinking Token-Mixing MLP for MLP-based Vision Backbone
- Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
- S2-MLP: Spatial-Shift MLP Architecture for Vision
- Graph-MLP: Node Classification without Message Passing in Graph
- Container: Context Aggregation Network
- Less is More: Pay Less Attention in Vision Transformers
- Can Attention Enable MLPs To Catch Up With CNNs?
- Pay Attention to MLPs - mlp)]
- FNet: Mixing Tokens with Fourier Transforms - pytorch)]
- ResMLP: Feedforward networks for image classification with data-efficient training - mlp-pytorch)
- Are Pre-trained Convolutions Better than Pre-trained Transformers?
- Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet - you-even-need-attention)
- RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
- Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
- MLP-Mixer: An all-MLP Architecture for Vision - mixer-pytorch)
- Synthesizer: Rethinking Self-Attention in Transformer Models
- Axial-MLP for automatic segmentation of choroid plexus in multiple sclerosis - Inria, 2021
- MAXIM: Multi-Axis MLP for Image Processing - Austin, 2022
- ConvMLP: Hierarchical Convolutional MLPs for Vision
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