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Open-world Semi-Supervised Learning on CIFAR-100 (test)

73.32Overall AccuracyHOOD
12.147228.028643.9159.7914Feb 6, 2021Nov 30, 2021Sep 24, 2022Jul 19, 2023May 12, 2024Mar 6, 2025Dec 29, 2025

Evaluation results

MethodLinks
HOODNo. of Labeled data=4002025.1273.32————
OpenMatchNo. of Labeled data=4002025.1272.87————
T2TNo. of Labeled data=4002025.1271.96————
MTCFNo. of Labeled data=4002025.1269.46————
OpenMatchNo. of Labeled data=1002025.1268.46————
HOODNo. of Labeled data=1002025.1268.03————
DS3LNo. of Labeled data=4002025.1267.65————
T2TNo. of Labeled data=1002025.1267.58————
HOODNo. of Labeled data=502025.1266.39————
UASDNo. of Labeled data=4002025.1265.97————
MTCFNo. of Labeled data=1002025.1265.84————
OpenMatchNo. of Labeled data=502025.1265.76————
T2TNo. of Labeled data=502025.1265.16————
TRSSLNovel class ratio=50%2022.0764.780.249.3——
DS3LNo. of Labeled data=1002025.1264.35————
MTCFNo. of Labeled data=502025.1262.78————
UASDNo. of Labeled data=1002025.1261.68————
DS3LNo. of Labeled data=502025.1260.4————
UASDNo. of Labeled data=502025.1258.87————
SORL2023.1156.168.2——52
OpenCon2023.1152.769.1——47.8
UNONovel class ratio=50%2022.0751.568.336.5——
ORCANovel class ratio=50%2022.0748.166.943——
ORCA2023.1147.266.7——41
GCD2023.1146.869.7——43.4
ORCANumber of novel classes=Unknown (estimated), Number of runs=32021.0246.466.34050.9—
DS3LNovel class ratio=50%2022.072455.123.7——
DS3L2023.112455.1——23.7
CGDL2023.1123.649.3——22.5
CGDLNovel class ratio=50%2022.0723.549.322.5——
RankStatsNovel class ratio=50%2022.0723.136.428.4——
RankStats2023.1123.136.4——28.4
SimCLRNovel class ratio=50%2022.0722.328.621.1——
SimCLR2023.1122.328.6——21.2
RankStatsNumber of novel classes=Unknown (estimated), Number of runs=32021.0220.333.722.137.4—
FixMatchNovel class ratio=50%2022.0720.339.623.5——
FixMatch2023.1120.339.6——23.5
DTCNovel class ratio=50%2022.0718.331.322.9——
DTC2023.1118.331.3——22.9
DTCNumber of novel classes=Unknown (estimated), Number of runs=32021.0214.530.715.433.7—