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ResearchFormerly WizWand

Image Classification on PathMNIST v2 (test)

89.86AccuracyHoP-TM
26.9443.27559.6175.945Sep 29, 2025
Updated 8mo ago

Evaluation results

MethodLinks
HoP-TMIPC=1000, Backbone=3-layer ConvNet2025.0989.86
DATMIPC=1000, Backbone=3-layer ConvNet2025.0989.15
ATTIPC=1000, Backbone=3-layer ConvNet2025.0988.41
MTTIPC=1000, Backbone=3-layer ConvNet2025.0987.73
FTDIPC=1000, Backbone=3-layer ConvNet2025.0987.65
IDMIPC=1000, Backbone=3-layer ConvNet2025.0987.51
DMIPC=1000, Backbone=3-layer ConvNet2025.0987.29
HoP-TMIPC=100, Backbone=3-layer ConvNet2025.0984.82
DATMIPC=100, Backbone=3-layer ConvNet2025.0984.07
ATTIPC=100, Backbone=3-layer ConvNet2025.0983.86
MTTIPC=100, Backbone=3-layer ConvNet2025.0982.9
FTDIPC=100, Backbone=3-layer ConvNet2025.0982.81
IDMIPC=100, Backbone=3-layer ConvNet2025.0982.05
DMIPC=100, Backbone=3-layer ConvNet2025.0982.04
HoP-TMIPC=10, Backbone=3-layer ConvNet2025.0977.23
HoP-TMIPC=5, Backbone=3-layer ConvNet2025.0973.92
DATMIPC=10, Backbone=3-layer ConvNet2025.0973.18
IDMIPC=10, Backbone=3-layer ConvNet2025.0972.74
IDMIPC=5, Backbone=3-layer ConvNet2025.0969.32
ATTIPC=10, Backbone=3-layer ConvNet2025.0968.92
DMIPC=10, Backbone=3-layer ConvNet2025.0966.99
DATMIPC=5, Backbone=3-layer ConvNet2025.0964.94
DMIPC=5, Backbone=3-layer ConvNet2025.0962.85
FTDIPC=10, Backbone=3-layer ConvNet2025.0962.06
MTTIPC=10, Backbone=3-layer ConvNet2025.0960.74
ATTIPC=5, Backbone=3-layer ConvNet2025.0956.95
FTDIPC=5, Backbone=3-layer ConvNet2025.0955.99
IDMIPC=1, Backbone=3-layer ConvNet2025.0950.39
ATTIPC=1, Backbone=3-layer ConvNet2025.0948.42
HoP-TMIPC=1, Backbone=3-layer ConvNet2025.0947.71
MTTIPC=5, Backbone=3-layer ConvNet2025.0947.3
DATMIPC=1, Backbone=3-layer ConvNet2025.0945.74
DMIPC=1, Backbone=3-layer ConvNet2025.0938.39
MTTIPC=1, Backbone=3-layer ConvNet2025.0929.84
FTDIPC=1, Backbone=3-layer ConvNet2025.0929.36