Research map / Architectures and efficiency / Attention and transformers
MAXIM: Multi-Axis MLP for Image Processing
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add inter-stage cross-gating blocks (ablation) | MAXIM-2S · GoPro | PSNR: +0.25 dB | Helped |
| Add supervised attention module (ablation) | MAXIM-2S · GoPro | PSNR: +0.63 dB | Helped |
| Add cross-stage cross-gating blocks (ablation) | MAXIM-2S · GoPro | PSNR: +0.36 dB | Helped |
| Add multi-scale supervision (ablation) | MAXIM-2S · GoPro | PSNR: +0.26 dB | Helped |
| Add local MAB branch to baseline UNet (ablation) | MAXIM-2S · GoPro | PSNR: 30.48 -> 31.52 | Helped |
| Add global MAB branch after local MAB (ablation) | MAXIM-2S · GoPro | PSNR: 31.52 -> 31.68 | Helped |
| Add local CGB branch after both MAB branches (ablation) | MAXIM-2S · GoPro | PSNR: 31.68 -> 31.84 | Helped |
| Add global CGB branch after local CGB (ablation) | MAXIM-2S · GoPro | PSNR: 31.84 -> 31.91 | Helped |
| Increase width from 32 to 64 channels (ablation) | Single-stage MAXIM · GoPro | PSNR: 31.08 -> 32.09 | Helped |
| Increase width from 32 to 96 channels (ablation) | Single-stage MAXIM · GoPro | PSNR: 31.08 -> 32.31 | Helped |
| Increase depth from 3 to 4 downscaling steps (ablation) | Single-stage MAXIM · GoPro | PSNR: 31.08 -> 31.17 | Helped |
| Increase depth from 3 to 5 downscaling steps (ablation) | Single-stage MAXIM · GoPro | PSNR: 31.08 -> 31.43 | Helped |
Closest papers by meaning
- Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials (NeurIPS 2025 · similarity 0.87)
- Bridging the Divide: Reconsidering Softmax and Linear Attention (NeurIPS 2024 · similarity 0.86)
- AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation (NeurIPS 2024 · similarity 0.85)
- Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks (AAAI 2024 · similarity 0.85)
- Demystify Mamba in Vision: A Linear Attention Perspective (NeurIPS 2024 · similarity 0.85)
- Breaking the Low-Rank Dilemma of Linear Attention (CVPR 2025 · similarity 0.85)
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