| | --- |
| | language: en |
| | license: mit |
| | tags: |
| | - atc |
| | --- |
| | |
| | # Fine-Tuned Agglomerative Token Clustering - DeiT-Tiny-Complete - ImageNet-1k |
| |
|
| | ### Model Details |
| | Agglomerative Token Clustering (ATC), a novel hierarchical hard-merging based token reduction method. |
| |
|
| | - **Developed by:** Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, and Thomas B. Moeslund |
| | - **Model type:** Vision Transformer |
| | - **License:** MIT |
| | - **Task:** Image Classification |
| |
|
| | ### Model Card |
| | - **Backbone:** DeiT-Tiny |
| | - **Token Reduction Method:** ATC |
| | - **Linkage Function:** Complete |
| | - **Reduction Ratio:** {0.25, 0.5, 0.7, 0.9} |
| | - **Reduction Stages:** 3, 6, 9 |
| |
|
| | ### More Resources |
| | - **Repository:** [https://github.com/JoakimHaurum/ATC](https://github.com/JoakimHaurum/ATC) |
| | - **Paper:** [https://arxiv.org/abs/2409.11923](https://arxiv.org/abs/2409.11923) |
| | - **Project Page:** [https://vap.aau.dk/atc](https://vap.aau.dk/atc) |
| | - **HuggingFace Collection:** [https://huggingface.co/collections/joakimbh/agglomerative-token-clustering-66e94dfb313e85ec97590fe4](https://huggingface.co/collections/joakimbh/agglomerative-token-clustering-66e94dfb313e85ec97590fe4) |
| |
|
| | ### Use |
| | The model files contain both standard and EMA model parameters. The version which gave the best performance is indicated with the "ema_best" boolean. |
| | |
