rankseg
| rankseg | Vision-Project-Image-Segmentation | |
|---|---|---|
| 1 | 1 | |
| 15 | 0 | |
| - | - | |
| 4.6 | 2.6 | |
| 8 months ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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.
rankseg
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[R] RankSEG: A Consistent Ranking-based Framework for Segmentation
Github website: https://github.com/statmlben/rankseg
Vision-Project-Image-Segmentation
What are some alternatives?
notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
Entity - EntitySeg Toolbox: Towards Open-World and High-Quality Image 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
SegGradCAM - SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
SipMask - SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
OneFormer - OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
Real-time-Semantic-Segmentation
STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences