Unicom: Universal and Compact Representation Learning for Image Retrieval

Benchmark Model Rank Results
image-classification-on-imagenetUnicom (ViT-L/14@336px) (Finetuned)#54Top 1 Accuracy: 88.3
image-retrieval-on-google-landmarks-datasetUNICOM-ViT-L-14-512px#2mAP@100: 36.4
image-retrieval-on-google-landmarks-datasetUNICOM-ViT-B-16-512px#3mAP@100: 35.7
image-retrieval-on-google-landmarks-dataset-1UNICOM-ViT-L-14-512px#1mAP@100: 33.1
image-retrieval-on-google-landmarks-dataset-1UNICOM-ViT-B-16-512px#2mAP@100: 32.4
image-retrieval-on-inaturalistUnicom+ViT-L@336px#1R@1: 88.9
image-retrieval-on-sopUnicom+ViT-L@336px#1R@1: 91.2
metric-learning-on-cars196Unicom+ViT-L@336px#1R@1: 98.2
metric-learning-on-cub-200-2011Unicom+ViT-L@336px#1R@1: 90.1
metric-learning-on-in-shop-1Unicom+ViT-L@336px#1R@1: 96.7
metric-learning-on-stanford-online-products-1Unicom+ViT-L@336px#1R@1: 91.2
self-supervised-image-classification-on-imagenetUnicom (ViT-B/16)#35Top 1 Accuracy: 79.1%Number of Params: 80M
self-supervised-image-classification-on-imagenetUnicom (ViT-B/32)#72Top 1 Accuracy: 75.0%Number of Params: 80M