Age Estimation on MORPH-II (test)
2.32MAEOrdinalCLIP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| OrdinalCLIPInterpolation=Linear, Base Ranks=32022.06 | 2.32 | — | |
| POEYear=20212022.06 | 2.35 | — | |
| OrdinalCLIPInterpolation=Inverse Proportion, Base Ranks=72022.06 | 2.35 | — | |
| AL-ROR-34network architecture=RoR, depth=342018.05 | 2.36 | — | |
| OrdinalCLIPInterpolation=Linear, Base Ranks=52022.06 | 2.36 | — | |
| AVDLYear=20202022.06 | 2.37 | — | |
| BridgeNetYear=20192022.06 | 2.38 | — | |
| OrdinalCLIPInterpolation=Linear, Base Ranks=22022.06 | 2.38 | — | |
| OrdinalCLIPInterpolation=Linear, Base Ranks=42022.06 | 2.38 | — | |
| OrdinalCLIPInterpolation=Linear, Base Ranks=72022.06 | 2.38 | — | |
| OrdinalCLIPInterpolation=Inverse Proportion, Base Ranks=32022.06 | 2.38 | — | |
| OrdinalCLIPInterpolation=Inverse Proportion, Base Ranks=82022.06 | 2.38 | — | |
| OrdinalCLIPInterpolation=Inverse Proportion, Base Ranks=92022.06 | 2.38 | — | |
| CoOpYear=20212022.06 | 2.39 | — | |
| OrdinalCLIPInterpolation=Linear, Base Ranks=62022.06 | 2.39 | — | |
| OrdinalCLIPInterpolation=Inverse Proportion, Base Ranks=22022.06 | 2.39 | — | |
| OrdinalCLIPInterpolation=Inverse Proportion, Base Ranks=42022.06 | 2.39 | — | |
| OrdinalCLIPInterpolation=Inverse Proportion, Base Ranks=62022.06 | 2.39 | — | |
| OrdinalCLIPInterpolation=Linear, Base Ranks=82022.06 | 2.4 | — | |
| OrdinalCLIPInterpolation=Inverse Proportion, Base Ranks=52022.06 | 2.4 | — | |
| OrdinalCLIPInterpolation=Linear, Base Ranks=92022.06 | 2.41 | — | |
| DLDL2018.05 | 2.42 | — | |
| AGEnYear=20182022.06 | 2.52 | — | |
| CORAL-CNNRandom Seed=2, Backbone=ResNet-342019.01 | 2.62 | 3.62 | |
| CNN Baseline2022.06 | 2.63 | — | |
| CORAL-CNNRandom Seed=1, Backbone=ResNet-342019.01 | 2.64 | 3.64 | |
| CORAL-CNNRandom Seed=Average, Backbone=ResNet-342019.01 | 2.64 | 3.65 | |
| CORAL-CNNRandom Seed=0, Backbone=ResNet-342019.01 | 2.66 | 3.69 | |
| DEXpre-training dataset=IMDB-WIKI2018.05 | 2.68 | — | |
| OR-CNNRandom Seed=1, Backbone=ResNet-342019.01 | 2.81 | 3.97 | |
| OR-CNNRandom Seed=2, Backbone=ResNet-342019.01 | 2.82 | 3.87 | |
| OR-CNNRandom Seed=Average, Backbone=ResNet-342019.01 | 2.83 | 3.97 | |
| OR-CNNRandom Seed=0, Backbone=ResNet-342019.01 | 2.87 | 4.08 | |
| ResNet-50Param #=23.6M2018.09 | 2.95 | — | |
| MGA (ResNet-50)Param #=24M2018.09 | 2.95 | — | |
| NetGridParam #=138M2018.09 | 2.96 | — | |
| HeterogeneousParam #=61M2018.09 | 3 | — | |
| MGAParam #=2M2018.09 | 3.01 | — | |
| DEX2018.05 | 3.25 | — | |
| CE-CNNRandom Seed=0, Backbone=ResNet-342019.01 | 3.26 | 4.62 | |
| CE-CNNRandom Seed=Average, Backbone=ResNet-342019.01 | 3.34 | 4.74 | |
| CE-CNNRandom Seed=1, Backbone=ResNet-342019.01 | 3.36 | 4.77 | |
| CE-CNNRandom Seed=2, Backbone=ResNet-342019.01 | 3.39 | 4.84 | |
| MF+VisReg2018.05 | 3.45 | — | |
| CNN (Multi-Task)learning paradigm=Multi-Task2018.05 | 3.63 | — | |
| BIF+KCCA2018.05 | 3.98 | — | |
| DLA2018.05 | 4.77 | — | |
| CA-SVR2018.05 | 5.88 | — | |
| OHRank2018.05 | 6.07 | — | |
| AGES2018.05 | 8.83 | — | |
| Zero-shot CLIPmode=Zero-shot, Year=20212022.06 | 14.45 | — |