CeMOS-IS/GenFormer
[ICPR 2024] Official repository of the paper "GenFormer - Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets"
This project helps machine learning practitioners improve the reliability of image classification models, especially when working with limited real-world image datasets. By generating synthetic images and integrating them into the training process, it makes 'vision transformer' models more accurate and robust against unexpected variations. The output is a more dependable image classification model that can generalize better to new, unseen images, ideal for machine learning engineers or researchers building computer vision systems.
No commits in the last 6 months.
Use this if you need to train robust image classification models with limited real-world image data and want to leverage synthetic data generation to enhance performance and resilience.
Not ideal if you are working with non-image data or if your existing image datasets are already very large and diverse, as the benefits might be less pronounced.
Stars
14
Forks
1
Language
Python
License
Apache-2.0
Last pushed
Aug 30, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/CeMOS-IS/GenFormer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
tue-mps/eomt
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
OSUPCVLab/SegFormer3D
Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image...
jeya-maria-jose/Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image...
davidiommi/Pytorch--3D-Medical-Images-Segmentation--SALMON
Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation...