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Multi-Domain Classification on Office-Home (test)

86.76Accuracy (Art)TPT
35.519248.822162.12575.4279Mar 26, 2019Feb 7, 2020Dec 22, 2020Nov 6, 2021Sep 20, 2022Aug 5, 2023Jun 19, 2024

Evaluation results

MethodLinks
TPTVisual Encoder=ViT-L/142024.0686.7674.7692.4292.9586.72—
WATT-SVisual Encoder=ViT-L/142024.0684.4375.4391.8894.0686.45—
TENTVisual Encoder=ViT-L/142024.0682.6172.5190.9792.7584.71—
CLIPVisual Encoder=ViT-L/142024.0682.4772.290.9492.7284.58—
CLIPARTTVisual Encoder=ViT-L/142024.0682.3572.4190.9492.6384.58—
TPTVisual Encoder=ViT-B/162024.0681.9767.018989.6681.91—
WATT-SVisual Encoder=ViT-B/162024.0680.4368.2688.0290.1481.71—
WATT-PVisual Encoder=ViT-B/162024.0680.3768.5988.1590.1881.82—
CLIPARTTVisual Encoder=ViT-B/162024.0679.3465.6987.3589.2980.42—
CLIPVisual Encoder=ViT-B/162024.0679.365.1587.3489.3180.28—
TENTVisual Encoder=ViT-B/162024.0679.2665.6487.4989.580.47—
MOMLWeighting Strategy=Multi-Objective Meta Learning2021.0269.6480.3990.1581.0880.31—
DMTLWeighting Strategy=Equal Weights (EW)2021.0268.0980.7289.4180.3679.65—
DMTLWeighting Strategy=Uncertainty Weighting (UW)2021.0267.5579.4189.1977.9578.53—
STLWeighting Strategy=Single-Task Learning2021.0266.4880.6490.6880.4379.56—
DMTLWeighting Strategy=Dynamic Weight Average (DWA), temperature parameter T=22021.0265.2879.4189.5179.1478.33—
DMTLWeighting Strategy=MGDA2021.0264.1478.1189.6279.6877.89—
SRMBackbone=ResNet-18, Evaluation Protocol=5-fold cross validation2019.0340.564.9776.1256.359.47—
SEBackbone=ResNet-18, Evaluation Protocol=5-fold cross validation2019.0339.5562.7575.655.5258.36—
BaselineBackbone=ResNet-18, Evaluation Protocol=5-fold cross validation2019.0337.4960.7372.8152.1255.47—
HNPsshots=12023.10—————76.29
HNPsshots=52023.10—————80.8
MLTIshots=12023.10—————70.69
MLTIshots=52023.10—————79.59
MTL-bridgeshots=12023.10—————64.31
MTL-bridgeshots=52023.10—————75.1