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---
title: SMLB
emoji: 📉
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 3.24.1
app_file: app.py
pinned: false
license: cc
---
This is a visual program of demonstrating the [SMLB](). It helps you to compare the performance of different models on each synset.
## How to use
1. first, you need to find the related synsets of your task. For example, if you want to know the performance on the Pets dataset which consists of cats and dogs, you can search the synsets related to cats and dogs. In this case, you can search `cat` and `dog` in the search bar. Then you will get the synsets of cats and dogs. Here, you will get `cat.n.01` and `dog.n.01`.
2. Then you can select the synsets you want to compare. In this case, you can select `cat.n.01` and `dog.n.01`.
## Citation
```bibtex
@misc{wu2023smlb,
title={Beyond Accuracy: Statistical Measures and Benchmark for Evaluation of Representation from Self-Supervised Learning },
author={Jiantao Wu and Shentong Mo and Sara Atito and Josef Kittler and Zhenhua Feng and Muhammad Awais},
year={2023}
primaryClass={cs.CV}
}
```
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