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vision-models-for-cifar10
team12ecen758/vision-models-for-cifar10
vision-models-for-cifar10 is a machine learning model from team12ecen758. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
In this report, We explore the existing deep learning solutions for the single object classification computer vision problem. We compare the current state-of-the-art transformer based models that are capable of zero-s…
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Updated Nov 22, 2024
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At a glance
- Access
- Public
- Created
- Nov 17, 2024
- Updated
- Nov 22, 2024
- SHA
- 0b8a7d49
Model card
From the Hugging Face model README
A Survey of Vision Models For CIFAR-10
Abstract
In this report, We explore the existing deep learning solutions for the single object classification computer vision problem. We compare the current state-of-the-art transformer based models that are capable of zero-shot learning to deep residual networks or ResNets fine-tuned using transfer learning. We provide an x-ray summary of both architectures, as well as discuss tractability and applicability issues.
Team Members
- Shwetima Sakshi
- Muhammed Ersoy
- Goutham Kolaparthi
- Shaunak Joshi
- Howie Morgenthaler
Installation
pip install -r requirements.txt
Running The Code
python main.py <train|test> --model <clip|vit|resnext|svm> --device <cuda|cpu>
- Created
- Nov 17, 2024
- Updated
- Nov 22, 2024