Model training and evaluation
Instructions for how to train and evaluate a MILE model, as well as the necessary code are in the Amazon Science repository.
Intended use and limitations
These models have been trained on Amazon-Berkeley-Objects and iNaturalist and are intended to demonstrate the power of the object-level embeddings w.r.t. the object /category retrieval task. For other domains or tasks, it should be further fine-tuned on relevant data.
Citation
If you use this work, please cite:
@inproceedings{leotescu2024mile,
title={Self-Supervised Incremental Learning of Object Representations from Arbitrary Image Sets},
author={Leotescu, George and Popa, Alin-Ionut Popa and Grigore, Diana and Voinea, Daniel and Perona, Pietro},
booktitle={Proceedings of WACV},
year={2025}
}
License
This library is licensed under the CC BY NC License.
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.