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Video Question Answering on VLEP

71Total AccuracyLLaMA-VQA
63.61665.53367.4569.367Oct 24, 2023Nov 1, 2023Nov 9, 2023Nov 18, 2023Nov 26, 2023Dec 4, 2023Dec 13, 2023

Evaluation results

MethodLinks
LLaMA-VQALanguage Model=LLaMA, Number of Trainable Parameters=4.5M2023.1071
ViLAFrames Numbers=42023.1269.6
ViLAFrames Numbers=22023.1269.2
SeViLAFrames Numbers=42023.1268.9
MERLOTLanguage Model=ROBERTa, Number of Trainable Parameters=223M2023.1068.4
BLIP-2Frames Numbers=42023.1267
InternVideoLanguage Model=CLIP text encoder, Number of Trainable Parameters=1.3B2023.1063.9
InternVideoFrames Numbers=82023.1263.9