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Classification on VOC07 (test)

94AccuracySANE-Multi (strong)
26.015243.665161.31578.9649Oct 15, 2015Oct 27, 2016Nov 10, 2017Nov 24, 2018Dec 8, 2019Dec 21, 2020Jan 4, 2022

Evaluation results

MethodLinks
SANE-Multi (strong)Protocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0694
CLSA-Multi(strong)Protocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0693.6
SANE-MultiProtocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0692.9
SWAV-MultiProtocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0688.9
SupervisedProtocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0687.5
MoCo v2Protocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0687.1
SimCLRProtocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0686.4
IL(M+D)Backbone=ResNet-50, Pretraining Epochs=200, Approach=Incremental Learning2022.0186.38
MTL(M+D)Backbone=ResNet-50, Pretraining Epochs=200, Approach=Multi-task learning2022.0185.82
Concat(M+D)Backbone=ResNet-50, Pretraining Epochs=200, Approach=Concatenation2022.0185.54
CO2Protocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0685.2
DetCoBackbone=ResNet-50, Pretraining Epochs=2002022.0185.19
MoCov2(M)Backbone=ResNet-50, Pretraining Epochs=2002022.0184.32
SupervisedBackbone=ResNet-50, Pretraining Epochs=2002022.0184.12
DenseCL(D)Backbone=ResNet-50, Pretraining Epochs=2002022.0183.11
PIRLProtocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0681.1
MoCoProtocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0679.8
BoWNetProtocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0679.3
NPID++Protocol=Linear probing, Backbone=ResNet-50, Epochs=1002021.0676.6
uSCABase Classifier=1NN, Supervision=Unsupervised2015.1033.14
SCABase Classifier=1NN, Supervision=Semi-supervised2015.1032.75
TJMBase Classifier=1NN2015.1032.48
TCABase Classifier=1NN2015.1031.7
SABase Classifier=1NN2015.1030.9
SSTCABase Classifier=1NN2015.1030.65
GFKBase Classifier=1NN2015.1030.63
KPCABase Classifier=1NN2015.1029.35
TSCBase Classifier=1NN2015.1028.8
RawBase Classifier=1NN2015.1028.63