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Landmark Regression on MAFL (test)

2.36MSE (%)

DLP++ (with learned features)

Updated 4d ago

Evaluation Results

Method	Links
DLP++ (with learned features) 2022.05		2.36
DLP++ (with learned features) 2022.05		2.39
DLP+ (with log-variance) 2022.05		2.42
DLP++ (with learned features) 2022.05		2.42
Deep Latent Particles (DLP) 2022.05		2.43
DLP+ (with log-variance) 2022.05		2.49
DLP+ (with log-variance) 2022.05		2.52
KeyNet 2022.05		2.54
Deep Latent Particles (DLP) 2022.05		2.56
KeyNet 2022.05		2.58
Dundar 2022.05		2.76
Deep Latent Particles (DLP) 2022.05		2.87
DLP++ (with learned features) 2022.05		2.98
DLP+ (with log-variance) 2022.05		3.12
Zhang 2022.05		3.16
KeyNet 2022.05		3.19
Lorenz 2022.05		3.24
Wiles 2022.05		3.44
Zhang 2022.05		3.46
Deep Latent Particles (DLP) 2022.05		3.87
MTCNN 2022.05		5.39
Shu 2022.05		5.45
Thewlis (frames) 2022.05		5.83
Thewlis 2022.05		6.67
Thewlis 2022.05		7.15
TCDCN 2022.05		7.95
Cascaded CNN 2022.05		9.73
CFAN 2022.05		15.84