rankseg VS SegGradCAM

Compare rankseg vs SegGradCAM and see what are their differences.

rankseg

[JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation (by statmlben)
Segmentation gpu-computing normal-approximation Deep Learning image-segmentation object-segmentation Pytorch semantic-segmentation
Source Code
github.com
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SegGradCAM

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping (by kiraving)
explainable-ai explainable-ml Computer Vision Segmentation semantic-segmentation
Source Code
ojs.aaai.org
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rankseg SegGradCAM
1 1
15 94
- -
4.6 4.2
8 months ago 8 months ago
Jupyter Notebook Jupyter Notebook
MIT License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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rankseg

Posts with mentions or reviews of rankseg. We have used some of these posts to build our list of alternatives and similar projects.

SegGradCAM

Posts with mentions or reviews of SegGradCAM. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing rankseg and SegGradCAM you can also consider the following projects:

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.

super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

OmniXAI - OmniXAI: A Library for eXplainable AI

Entity - EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Vision-Project-Image-Segmentation

transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

OneFormer - OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

diffusers-interpret - Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

rankseg vs notebooks SegGradCAM vs super-gradients rankseg vs cellpose SegGradCAM vs OmniXAI rankseg vs Entity SegGradCAM vs STEGO rankseg vs Vision-Project-Image-Segmentation SegGradCAM vs transformers-interpret rankseg vs OneFormer SegGradCAM vs imodels rankseg vs STEGO SegGradCAM vs diffusers-interpret