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Landmark Regression on MAFL (test)

2.36MSE (%)DLP++ (with learned features)
1.82085.46049.112.7396May 31, 2022

Evaluation results

MethodLinks
DLP++ (with learned features)K=302022.052.36
DLP++ (with learned features)K=502022.052.39
DLP+ (with log-variance)K=502022.052.42
DLP++ (with learned features)K=252022.052.42
Deep Latent Particles (DLP)K=502022.052.43
DLP+ (with log-variance)K=302022.052.49
DLP+ (with log-variance)K=252022.052.52
KeyNetSupervision=Unsupervised, K=502022.052.54
Deep Latent Particles (DLP)K=302022.052.56
KeyNetSupervision=Unsupervised, K=302022.052.58
DundarSupervision=Unsupervised, K=102022.052.76
Deep Latent Particles (DLP)K=252022.052.87
DLP++ (with learned features)K=102022.052.98
DLP+ (with log-variance)K=102022.053.12
ZhangSupervision=Unsupervised, K=302022.053.16
KeyNetSupervision=Unsupervised, K=102022.053.19
LorenzSupervision=Unsupervised, K=102022.053.24
WilesSupervision=Unsupervised2022.053.44
ZhangSupervision=Unsupervised, K=102022.053.46
Deep Latent Particles (DLP)K=102022.053.87
MTCNNSupervision=Supervised2022.055.39
ShuSupervision=Unsupervised2022.055.45
Thewlis (frames)Supervision=Unsupervised2022.055.83
ThewlisSupervision=Unsupervised, K=502022.056.67
ThewlisSupervision=Unsupervised, K=302022.057.15
TCDCNSupervision=Supervised2022.057.95
Cascaded CNNSupervision=Supervised2022.059.73
CFANSupervision=Supervised2022.0515.84