HRNet-Semantic-Segmentation
Restormer
HRNet-Semantic-Segmentation | Restormer | |
---|---|---|
1 | 3 | |
3,018 | 1,545 | |
0.0% | - | |
0.0 | 3.8 | |
over 1 year ago | 14 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
HRNet-Semantic-Segmentation
-
Some general and HRNetV2+OCR related questions (Semantic Segmentation)
Hi everyone. I'm trying utilize popular HRNetV2+OCR model posted in this repo
Restormer
-
[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
What are some alternatives?
Vision-Project-Image-Segmentation
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
Real-time-Semantic-Segmentation
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
IAST-ECCV2020 - IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.
PatchFusion - [CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022