---
language: en
license: mit
tags:
- atc
---

# Fine-Tuned Agglomerative Token Clustering - ViT-Adapter-Small-Complete - COCO 2017

### Model Details
Agglomerative Token Clustering (ATC), a novel hierarichal hard-merging based token reduction method. 

- **Developed by:** Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, and Thomas B. Moeslund
- **Model type:** ViT-Adapter
- **License:** MIT
- **Task:** Object Detection and Segmentation

### Model Card
- **Backbone:** ViT-Adapter-Small
- **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:** [TBD](TBD)
- **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)