Breakdance Video classification in the age of Generative AI
On the map: Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Embodied and 3D vision-language models, one of 16 directions in Multimodal LLMs / vision-language models. Builds on 10 of its 22 references that are in the map. First posted on arXiv 23 Oct 2025.
Builds on
10 of 22 references.
References · 10
- 2022VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Trainingcited by 1,322
- 2023ImageBind: One Embedding Space To Bind Them Allcited by 1,175
- 2018Tune: A Research Platform for Distributed Model Selection and Trainingcited by 395
- 2023A Survey on Large Language Models for Recommendationcited by 379
- 2023A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethicscited by 163
- 2017A Survey on Content-Aware Video Analysis for Sportscited by 27
- 2025Large Language Models For Text Classification: Case Study And Comprehensive Reviewcited by 12
- 2024Large Language Models for Social Networks: Applications, Challenges, and Solutionscited by 11
- 2024Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Videocited by 6
- 2022BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesiscited by 5
Built on by
Not cited yet.
Similar, not cited
Close in wording, no citation either way
- 2025TennisTV: Do Multimodal Large Language Models Understand Tennis Rallies?
- 2026SoccerLens: Grounded Soccer Video Understanding Beyond Accuracy
- 2025DeepSport: A Multimodal Large Language Model for Comprehensive Sports Video Reasoning via Agentic Reinforcement Learning
- 2026Beyond the Single Camera: Agentic Multi-View Reasoning in Sports Video Understanding
- 2025Do We Need Large VLMs for Spotting Soccer Actions?
- 2025Domain Adaptation of VLM for Soccer Video Understanding
- 2026Prompt, Probe, Train, or Annotate? Single-camera sports video understanding in amateur settings
- 2025SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports