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Visual Question Answering on VQA (test-val)

76.48AccuracyBaseline
71.602472.868774.13575.4013Apr 22, 2022

Evaluation results

MethodLinks
BaselineBase Model=CLIP-ViL, Training Protocol=Re-Pretrain2022.0476.48
MADBase Model=VILLA, Training Protocol=Only Finetune, Teacher Visual Encoder=CLIP-V, Teacher Text Encoder=CLIP-T2022.0475.81
BaselineBase Model=VILLA, Training Protocol=Only Finetune2022.0474.69
BaselineBase Model=UNITER, Training Protocol=Only Finetune2022.0473.82
BaselineBase Model=VL-BERT, Training Protocol=Only Finetune2022.0471.79