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ResearchFormerly WizWand

Image Classification on MNIST-R 64 rotations (test)

98.9Top-1 AccuracyGeneralist
95.98896.74497.598.256Jun 2, 2024
Updated 8mo ago

Evaluation results

MethodLinks
Generalistrotations=without2024.0698.9
ContextFlow++Fixed Generalist=true, Context Encoder Category=One-hot binary, Context Encoder Type=variational2024.0697.9
ContextFlow++Fixed Generalist=true, Context Encoder Category=Learned embedding, Context Encoder Type=deterministic2024.0697.9
Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=One-hot binary, Context Encoder Type=variational2024.0697.8
Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=Learned embedding, Context Encoder Type=stochastic2024.0697.8
ContextFlow++Fixed Generalist=true, Context Encoder Category=Integer, Context Encoder Type=arg max2024.0697.8
ContextFlow++Fixed Generalist=true, Context Encoder Category=Learned embedding, Context Encoder Type=stochastic2024.0697.8
Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=Integer, Context Encoder Type=arg max2024.0697.7
Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=Learned embedding, Context Encoder Type=deterministic2024.0697.7
ContextFlow++Fixed Generalist=true, Context Encoder Category=Integer, Context Encoder Type=uniform2024.0697.7
Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=Integer, Context Encoder Type=uniform2024.0697.6
ContextFlow++Fixed Generalist=true, Context Encoder Category=One-hot binary, Context Encoder Type=uniform2024.0697.6
Lu and Huang [2020]Fixed Generalist=false, Context Encoder Category=One-hot binary, Context Encoder Type=uniform2024.0697.4
Generalistrotations=with2024.0696.1