Vision-DiffMask VS HIPT

Compare Vision-DiffMask vs HIPT and see what are their differences.

Vision-DiffMask

Official PyTorch implementation of Vision DiffMask, a post-hoc interpretation method for vision models. (by AngelosNal)
Computer Vision Deep Learning Pytorch Interpretability vision-transformer
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HIPT

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral) (by mahmoodlab)
computational-pathology cvpr cvpr2022 Deep Learning hierarchical-attention-networks high-resolution histopathology pretrained-weights Pytorch self-supervised-learning transfer-learning unsupervised-learning vision-transformer weakly-supervised-learning
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Vision-DiffMask HIPT
2 1
27 464
- 3.9%
4.3 4.3
3 months ago 2 months ago
Jupyter Notebook Jupyter Notebook
MIT License 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.
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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.

Vision-DiffMask

Posts with mentions or reviews of Vision-DiffMask. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-14.

HIPT

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

What are some alternatives?

When comparing Vision-DiffMask and HIPT you can also consider the following projects:

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

SfMLearner - An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Face-Depth-Network - The component of DaGAN (CVPR 2022)

diffae - Official implementation of Diffusion Autoencoders

Vision-DiffMask vs transformers-interpret HIPT vs SfMLearner HIPT vs Face-Depth-Network HIPT vs diffae