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Cross-Modal Rank-1 Identification on UND X1

83.73Rank-1 Identification AccuracyDPM
28.225242.635157.04571.4549Jan 20, 2016Sep 23, 2016May 28, 2017Jan 30, 2018Oct 4, 2018Jun 8, 2019Feb 10, 2020

Evaluation results

MethodLinks
DPMGallery size=all available/subject2016.0183.73
DPMGallery size=all available/subject, Architecture=1 hidden-layer2016.0179.57
Hu et alGallery size=all available/subject2016.0172.7
Baseline-2Gallery size=all available/subject, Approach=PLS on same features2016.0169.86
DPMGallery size=2/subject2016.0160.83
Model with Up Convolution + DoG FilterUpsampling method=Up Convolution, Preprocessing (DoG filter)=True2020.0258.75
DPMGallery size=2/subject, Architecture=1 hidden-layer2016.0158.26
DPMGallery size=1/subject2016.0155.36
Deep Perceptual Mapping2020.0255.36
Baseline-1Gallery size=all available/subject, Features=same features w/o DPM2016.0152.34
Baseline-2Gallery size=2/subject, Approach=PLS on same features2016.0150.89
DPMGallery size=1/subject, Architecture=1 hidden-layer2016.0150.67
Hu et alGallery size=2/subject2016.0150.4
Choi et alGallery size=2/subject2016.0149.9
Model with Up ConvolutionUpsampling method=Up Convolution, Preprocessing (DoG filter)=False2020.0249.25
Hu et alGallery size=1/subject2016.0146.3
Baseline-2Gallery size=1/subject, Approach=PLS on same features2016.0144.75
Partial Least Squares2020.0244.75
Model with Bilinear UpsampleUpsampling method=Bilinear, Preprocessing (DoG filter)=False2020.0242
Baseline-1Gallery size=2/subject, Features=same features w/o DPM2016.0135.6
Baseline-1Gallery size=1/subject, Features=same features w/o DPM2016.0130.36