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 (by HRNet)
IAST-ECCV2020
IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm (by bupt-ai-cz)
HRNet-Semantic-Segmentation | IAST-ECCV2020 | |
---|---|---|
1 | 1 | |
3,018 | 84 | |
0.0% | - | |
0.0 | 1.8 | |
over 1 year ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of HRNet-Semantic-Segmentation.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Some general and HRNetV2+OCR related questions (Semantic Segmentation)
Hi everyone. I'm trying utilize popular HRNetV2+OCR model posted in this repo
IAST-ECCV2020
Posts with mentions or reviews of IAST-ECCV2020.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing HRNet-Semantic-Segmentation and IAST-ECCV2020 you can also consider the following projects:
Restormer - [CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Real-time-Semantic-Segmentation
Vision-Project-Image-Segmentation
PatchFusion - [CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
SeMask-Segmentation - [NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation
segmenter - [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
HRNet-Semantic-Segmentation vs Restormer
IAST-ECCV2020 vs Real-time-Semantic-Segmentation
HRNet-Semantic-Segmentation vs Vision-Project-Image-Segmentation
HRNet-Semantic-Segmentation vs Real-time-Semantic-Segmentation
HRNet-Semantic-Segmentation vs PatchFusion
HRNet-Semantic-Segmentation vs SeMask-Segmentation
HRNet-Semantic-Segmentation vs segmenter