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)
IAST-ECCV2020 | Real-time-Semantic-Segmentation | |
---|---|---|
1 | 1 | |
84 | 7 | |
- | - | |
1.8 | 1.8 | |
over 2 years ago | about 3 years ago | |
Python | Python | |
- | MIT License |
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.
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.
Real-time-Semantic-Segmentation
Posts with mentions or reviews of Real-time-Semantic-Segmentation.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] My first serious effort into semantic segmentation
The link to the implementation: Real-time-Semantic-Segmentation
What are some alternatives?
When comparing IAST-ECCV2020 and Real-time-Semantic-Segmentation you can also consider the following projects:
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
SeMask-Segmentation - [NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation
Vision-Project-Image-Segmentation
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.