Restormer
transfiner
| Restormer | transfiner | |
|---|---|---|
| 3 | 3 | |
| 1,554 | 516 | |
| - | 0.0% | |
| 3.8 | 0.0 | |
| 23 days ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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Restormer
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[R] Restormer: Efficient Transformer for High-Resolution Image Restoration (CVPR2022--ORAL) + Colab Demo + Gradio Web Demo
Code for https://arxiv.org/abs/2111.09881 found: https://github.com/swz30/Restormer
- Restormer: Efficient Transformer for High-Resolution Image Restoration
transfiner
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I trained a neural net to watch Super Smash Bros
ok cool. Yeah it looked like you were playing with pointrend and I was wondering if it was transfiner or not.
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[D] Alleged academic fraud of "Mask Transfiner for High-Quality Instance Segmentation" (arxiv 2111.13673)
When I visited the project page, I found this issue: Unfair Comparison with HTC and RefineMask? And I think most suspicions are justified. To summarize,
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[R][P] Mask Transfiner for High-Quality Instance Segmentation + Gradio Web Demo
github: https://github.com/SysCV/transfiner
What are some alternatives?
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
DAD-3DHeads - Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
maxim-pytorch - [CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim
RefineMask - RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021)
NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.
DeepViewAgg - [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
HRNet-Semantic-Segmentation - The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
DirectVoxGO - Direct voxel grid optimization for fast radiance field reconstruction.
mmdetection - OpenMMLab Detection Toolbox and Benchmark