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Image Captioning on Crossmodal-3600 (test)

98.1Score (en)PaLI-17B
26.96445.43263.982.368Sep 14, 2022Oct 27, 2022Dec 9, 2022Jan 21, 2023Mar 5, 2023Apr 17, 2023May 31, 2023

Evaluation results

MethodLinks
PaLI-17BNumber of Parameters=17B, Fine-tuning Dataset=COCO-35L, Resolution=224x2242022.0998.175.531.346.835.872.136.553.6——
PaLIFine-tuning=true, Resolution=224x2242023.0598.175.531.346.835.872.136.553.6——
PaLI-XFine-tuning=true, Resolution=224x2242023.0594.278.73246.936.975.336.153.1——
PaLI-3BNumber of Parameters=3B, Fine-tuning Dataset=COCO-35L, Resolution=224x2242022.0992.868.630.339.230.365.932.247——
BB+CCLearning Setup=Multilingual Captioning Supervised Learning2023.0558.4—19.7———20.2——42.5
Thapliyal et al. (2022)Number of Parameters=0.8B2022.0957.640.920.616.113.935.519.828.9——
LMCAP+Learning Setup=Few-shot Learning, Increased Datastore=true2023.0552.6—7.8———25.1——32.6
LMCAPLearning Setup=Few-shot Learning2023.0545.2—13.2———22.1——32.9
LgLearning Setup=Multilingual Captioning Supervised Learning2023.0534.3—11.1———9.9——22
BgLearning Setup=Multilingual Captioning Supervised Learning2023.0533.7—11.2———11——23.2
BBLearning Setup=Multilingual Captioning Supervised Learning2023.0529.7—9.8———8.7——19.4
PaLIEvaluation Protocol=fine-tune2023.05————————53.6—
PaLI-XShots=4 shots2023.05————————45.1—
PaLI-XShots=32 shots2023.05————————47.1—