1. Agglomerative Token Clustering
- Author
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Haurum, Joakim Bruslund, Escalera, Sergio, Taylor, Graham W., and Moeslund, Thomas B.
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
We present Agglomerative Token Clustering (ATC), a novel token merging method that consistently outperforms previous token merging and pruning methods across image classification, image synthesis, and object detection & segmentation tasks. ATC merges clusters through bottom-up hierarchical clustering, without the introduction of extra learnable parameters. We find that ATC achieves state-of-the-art performance across all tasks, and can even perform on par with prior state-of-the-art when applied off-the-shelf, i.e. without fine-tuning. ATC is particularly effective when applied with low keep rates, where only a small fraction of tokens are kept and retaining task performance is especially difficult., Comment: ECCV 2024. Project webpage at https://vap.aau.dk/atc/
- Published
- 2024