Add Computer Vision Classification Template with MobileNetV3 Baseline#141
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conglu1997 merged 6 commits intoSakanaAI:mainfrom Oct 24, 2024
Merged
Add Computer Vision Classification Template with MobileNetV3 Baseline#141conglu1997 merged 6 commits intoSakanaAI:mainfrom
conglu1997 merged 6 commits intoSakanaAI:mainfrom
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Contributor
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Thanks so much for the contribution - could you remove the changes to the README and follow the new contribution style, the template.tex file should have more appropriate base cites. There is also an incorrect modification to the nanogpt ideas. |
Contributor
Author
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Thanks for the feedback @conglu1997 ! |
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@conglu1997 I am starting to think that there needs to be a prompt meta-template that allows people to, through dialogue, vaguely hint at which piece of research they would like to pursue, and provide example papers (e.g. DOI/ArXiv links) so that it understands, and fetch the relevant GitHub repo by itself. |
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…SakanaAI#141) * Add MobileNetV3 template * Modify output JSON for compatibility with 'perfor_*' modules * Update gitignore * Undo changes to nanoGPT * Add relevant base citations
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Overview
This pull request introduces a new template for computer vision classification tasks, along with a strong baseline implementation using MobileNetV3. The additions have been thoroughly tested end-to-end to ensure reliability and ease of use.
Key Features
CV Classification Template: A reusable template for computer vision classification tasks, promoting consistency and efficiency in future projects.
MobileNetV3 Baseline: Implementation of a strong baseline model using MobileNetV3, known for its efficiency and performance in various computer vision applications.
End-to-End Testing: Comprehensive testing to validate the entire pipeline from data input to model output.
Technical Details
Sample paper outputs
adaptive_channel_thresholding_mobilenetv3.pdf
mb4-pre.pdf
I welcome any feedback or suggestions for improvement. Please let me know if you need any additional information or clarification.