⚽ SoccerHigh

This model card provides the checkpoints for the Baseline Model introduced in:

SoccerHigh: A Benchmark Dataset for Automatic Soccer Video Summarization
Artur Díaz-Juan, Coloma Ballester, Gloria Haro
ACM MMSports 2025

📂 Model Checkpoints

Name	Description
Baseline_VideoMAEv2-Giant	Baseline model trained with a VideoMAEv2 encoder for feature extraction using vit_g_hybrid_pt_1200e_k710_ft weights
Baseline_VideoMAEv2-Small	Baseline model trained with a VideoMAEv2 encoder for feature extraction using vit_g_hybrid_pt_1200e_k710_ft weights
Baseline_CLIP	Baseline model trained with a CLIP encoder for feature extraction using CLIP ViT-B-32 256×256 trained on DataComp-1B weights
Baseline_ResNet	Baseline model trained with a ResNet-152 encoder for feature extraction using IMAGENET1K_V2 weights

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⚙️ Installation

git clone https://github.com/IPCV/SoccerHigh.git
cd SoccerHigh/code

For more details, please visit the original repository: https://github.com/IPCV/SoccerHigh

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📖 Citation

If you use this code for a scientific publication, please reference the original paper:

@inproceedings{10.1145/3728423.3759410,
  author = {D\'{\i}az-Juan, Artur and Ballester, Coloma and Haro, Gloria},
  title = {SoccerHigh: A Benchmark Dataset for Automatic Soccer Video Summarization},
  year = {2025},
  isbn = {9798400711985},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3728423.3759410},
  doi = {10.1145/3728423.3759410},
  booktitle = {Proceedings of the 8th International ACM Workshop on Multimedia Content Analysis in Sports},
  pages = {121–130},
  numpages = {10},
  location = {Dublin, Ireland},
  series = {MMSports '25}
}

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🛡️ License

This code is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.