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ResearchFormerly WizWand

Image Classification on Vision Datasets 1.0 (test)

92Average AccuracyMDA TA
46.65658.42870.281.972Nov 29, 2025
Updated 8mo ago

Evaluation results

MethodLinks
MDA TABackbone=ViT-L/142025.1192
TSV TABackbone=ViT-L/142025.1191.3
ISO TABackbone=ViT-L/142025.1191.1
ISO-CLS TABackbone=ViT-L/142025.1190.7
MDA TABackbone=ViT-B/162025.1189.9
ISO TABackbone=ViT-B/162025.1189.1
TSV TABackbone=ViT-B/162025.1189
DOGE TABackbone=ViT-L/142025.1188.8
ISO-CLS TABackbone=ViT-B/162025.1188.5
Ties-MergingBackbone=ViT-L/142025.1186.9
Consensus TIESBackbone=ViT-L/142025.1186.9
MDA TABackbone=ViT-B/322025.1186.4
DOGE TABackbone=ViT-B/162025.1186.3
Consensus TABackbone=ViT-L/142025.1186.2
TSV TABackbone=ViT-B/322025.1185.2
Task ArithmeticBackbone=ViT-L/142025.1184.8
ISO TABackbone=ViT-B/322025.1182.9
ISO-CLS TABackbone=ViT-B/322025.1180.8
DOGE TABackbone=ViT-B/322025.1180.7
Weight averagingBackbone=ViT-L/142025.1179.4
Ties-MergingBackbone=ViT-B/162025.1179.2
Consensus TABackbone=ViT-B/162025.1179
Consensus TIESBackbone=ViT-B/162025.1178.2
Task ArithmeticBackbone=ViT-B/162025.1175.4
Ties-MergingBackbone=ViT-B/322025.1175.1
Consensus TABackbone=ViT-B/322025.1175
Consensus TIESBackbone=ViT-B/322025.1174.8
Weight averagingBackbone=ViT-B/162025.1172.1
Task ArithmeticBackbone=ViT-B/322025.1170.8
Weight averagingBackbone=ViT-B/322025.1166.5
Pre-trainedBackbone=ViT-L/142025.1164.4
Pre-trainedBackbone=ViT-B/162025.1155.1
Pre-trainedBackbone=ViT-B/322025.1148.4