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| 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 |
1git clone https://github.com/IPCV/SoccerHigh.git
2cd SoccerHigh/code1@inproceedings{10.1145/3728423.3759410,
2 author = {D\'{\i}az-Juan, Artur and Ballester, Coloma and Haro, Gloria},
3 title = {SoccerHigh: A Benchmark Dataset for Automatic Soccer Video Summarization},
4 year = {2025},
5 isbn = {9798400711985},
6 publisher = {Association for Computing Machinery},
7 address = {New York, NY, USA},
8 url = {https://doi.org/10.1145/3728423.3759410},
9 doi = {10.1145/3728423.3759410},
10 booktitle = {Proceedings of the 8th International ACM Workshop on Multimedia Content Analysis in Sports},
11 pages = {121–130},
12 numpages = {10},
13 location = {Dublin, Ireland},
14 series = {MMSports '25}
15}