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OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

ICML 2022 · Vision-language and multimodal › Cross-modal learning · approach: Contrastive vision-language alignment · 251 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Scale OFA from Base to HugeOFA · VQAv2 test-stdaccuracy: 78.1 -> 82.0Helped
Scale OFA from Base to HugeOFA · SNLI-VE testaccuracy: 89.2 -> 91.2Helped
Add text infilling pretraining (ablation)OFA Base · Image captioningCIDEr: +0.8 CIDErHelped
Add text infilling pretraining (ablation)OFA Base · VQAaccuracy: +0.46 Acc.Helped
Add text infilling pretraining (ablation)OFA Base · ImageNet-1Kaccuracy: -1.0 Acc.Hurt
Add text infilling pretraining (ablation)OFA Base · Text-to-image generationCLIPSIM: -0.1 CLIPSIMNo clear effect
Add image infilling pretraining (ablation)OFA Base · ImageNet-1Kaccuracy: +1.0 Acc.Helped
Add image infilling pretraining (ablation)OFA Base · Text-to-image generationCLIPSIM: +0.6 CLIPSIMHelped
Add image infilling pretraining (ablation)OFA Base · Image captioningCIDEr: -0.7 CIDErHurt
Add image infilling pretraining (ablation)OFA Base · VQAaccuracy: -0.3 Acc.Hurt
Add object detection pretraining (ablation)OFA Base · Image captioningCIDEr: +2.3 CIDErHelped
Add visual grounding and grounded captioning (ablation)OFA Base · Image captioningCIDEr: +1.4 CIDErHelped

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