zs1314/Fraesormer
【ICME2025 Oral】Offical Pytorch Code for "Fraesormer: Learning Adaptive Sparse Transformer for Efficient Food Recognition"
This project helps classify different types of food from images quickly and accurately, even with varying image quality. It takes raw food images as input and outputs precise categories of food, making it ideal for researchers or developers creating smart food recognition systems.
No commits in the last 6 months.
Use this if you need a highly efficient and accurate way to automatically identify various food items from images.
Not ideal if you are looking for a pre-packaged application for immediate end-user use, as this is a developer tool requiring coding knowledge.
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11
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Language
Python
License
Apache-2.0
Category
Last pushed
Mar 21, 2025
Commits (30d)
0
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