Large Vision Language models have seen huge application in several sports use-cases recently. Most of these works have been targeted towards a limited subset of popular sports like soccer, cricket, basketball etc; focusing on generative tasks like visual question answering, highlight generation. This work analyzes the applicability of the modern video foundation models (both encoder and decoder) for a very niche but hugely popular dance sports - breakdance. Our results show that Video Encoder models continue to outperform state-of-the-art Video Language Models for prediction tasks. We provide insights on how to choose the encoder model and provide a thorough analysis into the workings of a finetuned decoder model for breakdance video classification.
@article{arxiv.2510.20287,
title = {Breakdance Video classification in the age of Generative AI},
author = {Sauptik Dhar and Naveen Ramakrishnan and Michelle Munson},
journal= {arXiv preprint arXiv:2510.20287},
year = {2025}
}