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atc_small-coco17-average – AI Model by joakimbh | AlphaNeural AI
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Fine-Tuned Agglomerative Token Clustering - ViT-Adapter-Small-Average - COCO 2017
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:
ViT-Adapter
License:
MIT
Task:
Object Detection and Segmentation
Model Card
Backbone:
ViT-Adapter-Small
Token Reduction Method:
ATC
Linkage Function:
Average
Reduction Ratio:
{0.25, 0.5, 0.7, 0.9}
Reduction Stages:
3, 6, 9
More Resources
Repository:
https://github.com/JoakimHaurum/ATC
Paper:
https://arxiv.org/abs/2409.11923
Project Page:
https://vap.aau.dk/atc
HuggingFace Collection:
https://huggingface.co/collections/joakimbh/agglomerative-token-clustering-66e94dfb313e85ec97590fe4
