TimeScope / aggregated_accuracy.csv
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Model,1min,2min,3min,5min,10min,20min,30min,60min,120min,180min,300min,480min
InternVL2-5-2B,86.0,80.7,75.3,61.3,44.7,43.3,28.0,32.0,36.0,30.0,27.3,
InternVL2-5-4B,96.7,89.3,86.0,74.7,62.0,47.3,43.3,38.7,42.7,36.7,38.7,
InternVL2.5-8B,94.0,90.7,88.7,73.3,50.7,36.7,39.3,28.7,28.7,26.7,24.7,
LLaVA-Video-7B,97.0,96.0,94.0,95.0,94.0,70.0,67.0,52.0,43.0,33.0,40.0,28.0
Qwen2.5-VL-3B,92.0,91.0,88.0,91.0,89.0,86.0,75.0,63.0,44.0,34.0,36.0,29.0
Qwen2.5-VL-7B,96.0,96.7,96.7,95.3,94.7,86.7,86.0,65.3,50.0,39.3,39.3,
LLaMA-3.2B-11B,40.0,26.7,19.3,20.7,18.7,16.0,18.7,20.7,18.7,20.7,20.0,
VideoLLaMA3-7B,60.0,77.3,79.3,69.3,90.7,85.3,75.3,62.7,54.0,40.7,44.0,
Gemini 2.5 pro,97.3,97.3,98.7,98.0,97.3,96.7,98.0,96.7,88.0,70.0,70.7,65.3
LongVA-7B,87.3,87.3,74.7,79.3,76.0,58.7,50.0,46.0,26.7,30.0,30.0,25.3
ChatGPT 4.1,95.3,90.7,78.7,60.0,51.3,41.3,38.7,23.3,30.0,22.7,24.7,32.0