Hybrid model integrating LeViT transformer and distillation techniques for pattern detection and dance classification
Yanyan Wang · 2025
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Description
Yanyan Wang built a hybrid vision model in a 2025 study to classify traditional Chinese dance. Saving folk heritage now leans on AI that can name what a photo shows. Dance forms carry complex cues in pose, dress, and motion, and a small, fast model is wanted for field use.
Wang joined a lightweight vision transformer, LeViT, with a distillation trick where a big model teaches a small one. It was graded beside a standard vision transformer and a classic convolutional net. Photos covered three Chinese dance forms in standard dress. A lean model that reads them well could tag vast photo archives for museums.
Catalog record
| CREATOR | Yanyan Wang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 80 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |