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ResearchFormerly WizWand

Image Classification on Entity-30 ID

97.4AccuracyLP-FT + VRF
63.91272.60681.389.994Nov 11, 2024
Updated 8mo ago

Evaluation results

MethodLinks
LP-FT + VRFBackbone=CLIP ViT-B/162024.1197.4
LP-FT + WSEBackbone=CLIP ViT-B/162024.1197.3
E2E-FT + WSEBackbone=CLIP ViT-B/162024.1197.2
LP-FT + OSEBackbone=CLIP ViT-B/162024.1197.2
E2E-FT + OSEBackbone=CLIP ViT-B/162024.1197
E2E-FT + VRFBackbone=CLIP ViT-B/162024.1197
E2E-FTBackbone=CLIP ViT-B/162024.1196.9
LP-FTBackbone=CLIP ViT-B/162024.1196.9
Linear classifierBackbone=CLIP ViT-B/162024.1195.3
LP-FT + WSEBackbone=CLIP ViT-B/322024.1194.8
LP-FT + VRFBackbone=CLIP ViT-B/322024.1194.8
LP-FT + OSEBackbone=CLIP ViT-B/322024.1194.7
E2E-FT + WSEBackbone=CLIP ViT-B/322024.1194.6
LP-FTBackbone=CLIP ViT-B/322024.1194.6
E2E-FT + VRFBackbone=CLIP ViT-B/322024.1194.5
E2E-FTBackbone=CLIP ViT-B/322024.1194.4
E2E-FT + OSEBackbone=CLIP ViT-B/322024.1194.4
Linear classifierBackbone=CLIP ViT-B/322024.1193.3
Zero-shotBackbone=CLIP ViT-B/162024.1168.3
Zero-shotBackbone=CLIP ViT-B/322024.1165.2