pytorch-grad-cam
deit
| pytorch-grad-cam | deit | |
|---|---|---|
| 5 | 2 | |
| 9,456 | 3,822 | |
| - | - | |
| 5.4 | 5.1 | |
| about 2 months ago | about 2 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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pytorch-grad-cam
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Exploring GradCam and More with FiftyOne
For the two examples we will be looking at, we will be using pytorch_grad_cam, an incredible open source package that makes working with GradCam very easy. There are excellent other tutorials to check out on the repo as well.
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Which layers are doing image segmentation on AutoEncoders/U-NET?
https://github.com/jacobgil/pytorch-grad-cam.
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[D] Algorithm for view prediction?
I know I would like to use grad-CAM https://github.com/jacobgil/pytorch-grad-cam
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[P] Adapting Class Activation Maps for Object Detection and Semantic Segmentation
https://github.com/jacobgil/pytorch-grad-cam is a project that has a comprehensive collection of Pixel Attribution Methods for PyTorch (like the package name grad-cam that was the original algorithm implemented).
- [Project] Recent Class Activation Map Methods for CNNs and Vision Transformers
deit
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Exploring GradCam and More with FiftyOne
We can now apply the transform and try ourselves with a vision transformer. We will use DeiT from the FiftyOne model zoo. It can be loaded with a pre and postprocessor like the following:
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[D] What are the strongest plain baselines for Vision Transformers on ImageNet?
I think Deit III is pretty sota
What are some alternatives?
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tf-keras-vis - Neural network visualization toolkit for tf.keras
Transformer-MM-Explainability - [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
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EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
XAI - Genetic programming method for explaining complex black-box models
dino-vit-features - Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.