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Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

CVPR 2021 · Vision-language and multimodal › Human and embodied modeling · approach: Language-grounded scene text and structure · 615 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace CC3M with CC12M for pretraining before COCO fine-tuningImage captioning model · nocaps valoverall CIDEr: 73.2 -> 87.4; +14.2 CIDEr pointsHelped
Pretrain on CC3M and CC12M together rather than CC12M aloneImage captioning model · nocaps valoverall CIDEr: 87.4 -> 90.2; +2.8Helped
Use CC12M rather than CC3M for pretrainingImage captioning model · nocaps val out-of-domainCIDEr: 65.3 -> 91.3Helped
Use CC12M rather than CC3M for pretrainingImage captioning model · nocaps val zero-shotoverall CIDEr: 29.7 -> 27.1Hurt
Use CC12M rather than CC3M for pretrainingImage captioning model · LocNar OID valCIDEr: 35.7 -> 38.6Helped
Pretrain on CC12M before fine-tuning on CC3MImage captioning model · CC3M devCIDEr: 100.9 -> 105.4 (+4.5 CIDER points)Helped
Use CC12M rather than CC3M for pretrainingImage retrieval model · Flickr30K test, zero-shotRecall@1: 35.4 -> 42.5 (+7.1% R1)Helped
Use CC12M rather than CC3M for pretrainingImage retrieval model · Flickr30K test, fine-tunedRecall@1: 52.3 -> 58.5Helped
Use CC12M rather than CC3M for pretrainingImage retrieval model · LocNar Flickr30K testRecall@1: 61.1 -> 70.2Helped
Replace image captioning pretraining with MLM at low masking rates (ablation)CC12M-pretrained image captioning model · nocaps valoverall CIDEr: 87.4 vs. 67.4, 76.8, and 84.0Hurt
Raise MLM masking rate to .8 instead of using image captioning pretraining (ablation)CC12M-pretrained image captioning model · nocaps valoverall CIDEr: 87.4 vs. 88.5 overall CIDEr; out-of-domain CIDEr 91.3 vs. 91.1Mixed
Add visual-linguistic matching loss to image captioning pretraining (ablation)CC12M image captioning model · nocaps valoverall CIDEr: 87.4 -> 87.1Hurt

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