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Image Classification on 10 Downstream Classification Datasets

86.2Average AccuracyCLIP*
62.07268.33674.680.864Apr 29, 2022Aug 31, 2022Jan 3, 2023May 8, 2023Sep 9, 2023Jan 12, 2024May 16, 2024

Evaluation results

MethodLinks
CLIP*Image Encoder=ViT-B/16, Pretrain Dataset Size=400M, Evaluation Protocol=Linear probe2022.0486.2——————————
PyramidCLIPImage Encoder=ViT-B/16, Pretrain Dataset Size=143M, Evaluation Protocol=Linear probe2022.0485.3——————————
PyramidCLIPImage Encoder=ViT-B/32, Pretrain Dataset Size=143M, Evaluation Protocol=Linear probe2022.0482.8——————————
CLIP*Image Encoder=ViT-B/32, Pretrain Dataset Size=400M, Evaluation Protocol=Linear probe2022.0482.7——————————
FFF-ViT-B/32Evaluation Protocol=Linear Probe, Pre-train dataset=YFCC15M2024.0579.293.978.480.384.994.796.255.572.299.936.5
ALIP-VIT-B/32Backbone=ViT-B/32, Pre-train Dataset=YFCC15M, Evaluation Protocol=Linear Probe2023.0872.294.377.875.87695.173.333.671.788.536.1
ALIP-ViT-B/32Evaluation Protocol=Linear Probe, Pre-train dataset=YFCC15M2024.0572.294.377.875.87695.173.333.671.788.536.1
HIDECLIP-VIT-B/32Backbone=ViT-B/32, Pre-train Dataset=YFCC15M, Evaluation Protocol=Linear Probe2023.0870.888.170.777.675.595.672.23670.19032.6
HiDeCLIP-ViT-B/32Evaluation Protocol=Linear Probe, Pre-train dataset=YFCC15M2024.0570.888.170.777.675.595.672.23670.19032.6
DECLIP-VIT-B/32Backbone=ViT-B/32, Pre-train Dataset=YFCC15M, Evaluation Protocol=Linear Probe2023.0868.789.26975.472.294.471.63168.887.927.6
DeCLIP-ViT-B/32Evaluation Protocol=Linear Probe, Pre-train dataset=YFCC15M2024.0568.789.26975.472.294.471.63168.887.927.6
HICLIP-VIT-B/32Backbone=ViT-B/32, Pre-train Dataset=YFCC15M, Evaluation Protocol=Linear Probe2023.0867.289.571.173.570.691.968.830.863.984.827.4
HiCLIP-ViT-B/32Evaluation Protocol=Linear Probe, Pre-train dataset=YFCC15M2024.0567.289.571.173.570.691.968.830.863.984.827.4
CLIP-VIT-B/32Backbone=ViT-B/32, Pre-train Dataset=YFCC15M, Evaluation Protocol=Linear Probe2023.086386.564.769.264.690.66624.961.379.123.1
CLIP-ViT-B/32Evaluation Protocol=Linear Probe, Pre-train dataset=YFCC15M2024.056386.564.769.264.690.66624.961.379.123.1