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Research map / Probabilistic and scientific modeling / Molecules and proteins

BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation

CVPR 2019 · Probabilistic and scientific modeling › Molecules and proteins · approach: Neuro-symbolic probabilistic layers · 121 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add continuity-aware bridge connections to tree gating (ablation)BridgeNet · MORPH II setting IMAE: 2.51 -> 2.38Helped
replace softmax gating with tree-based gating (ablation)BridgeNet gating · MORPH II setting I, 64 leavesMAE: 2.54 -> 2.51Helped
increase softmax gating leaves from 16 to 128 (ablation)BridgeNet gating · MORPH II setting IMAE: 2.68 -> 2.53Helped
increase binary-tree gating leaves from 16 to 128 (ablation)BridgeNet gating · MORPH II setting IMAE: 2.66 -> 2.49Helped
increase triple bridge-tree depth from 3 to 5 layers (ablation)BridgeNet gating · MORPH II setting IMAE: 2.51 -> 2.38Helped
increase triple bridge-tree depth from 5 to 6 layers (ablation)BridgeNet gating · MORPH II setting IMAE: 2.38 -> 2.38No clear effect
use binary instead of triple bridge-tree gating (ablation)BridgeNet · MORPH II setting IMAE: 2.38 -> 2.35Helped
increase binary bridge-tree leaves from 16 to 128 (ablation)BridgeNet gating · MORPH II setting IMAE: 2.43 -> 2.35Helped
use BridgeNet rather than the strongest listed baselineage estimation · MORPH II setting IMAE: 2.68 -> 2.38Helped
use BridgeNet rather than the strongest listed baselineage estimation · FG-NET LOPOMAE: 2.68 -> 2.56Helped
use BridgeNet rather than the strongest listed baselineage estimation · MORPH II setting II averageMAE: 2.98 -> 2.63Helped
use BridgeNet rather than Tan et al.age estimation · Chalearn LAP 2015 testMAE: 2.94 -> 2.87Helped

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