atlas

Research map / Label-efficient and robust learning / Recognition and long-tail

FAN-Face: a Simple Orthogonal Improvement to Deep Face Recognition

AAAI 2020 · Label-efficient and robust learning › Recognition and long-tail · approach: Margin-based face recognition losses · 29 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
add heatmap stacking at the input (ablation)FAN-Face (ResNet-34) · IJB-B 1:1 verification (1M VGGFace2 subset)TAR @ FAR=1e-4: 0.859 -> 0.864Helped
add FAN feature integration on top of heatmaps (ablation)FAN-Face (ResNet-34) · IJB-B 1:1 verification (1M VGGFace2 subset)TAR @ FAR=1e-4: 0.864 -> 0.876Helped
use high-to-low instead of low-to-high FAN features (ablation)FAN-Face (ResNet-34) · IJB-B 1:1 verification (1M VGGFace2 subset)TAR @ FAR=1e-4: 0.871 -> 0.876Helped
replace additive Simple layer with Basic Layer (norm + concat) (ablation)FAN-Face (ResNet-34) · IJB-B 1:1 verification (1M VGGFace2 subset)TAR @ FAR=1e-4: 0.857 -> 0.876Helped
use Advanced Layer instead of Basic Layer (ablation)FAN-Face (ResNet-34) · IJB-B 1:1 verification (1M VGGFace2 subset)TAR @ FAR=1e-4: 0.876 -> 0.873No clear effect
use 1-many instead of 1-1 connectivity (ablation)FAN-Face (ResNet-34) · IJB-B 1:1 verification (1M VGGFace2 subset)TAR @ FAR=1e-4: 0.876 -> 0.874No clear effect
use multi-task landmark head instead of feature integration (ablation)FAN-Face (ResNet-34) · IJB-B 1:1 verification (1M VGGFace2 subset)TAR @ FAR=1e-4: 0.876 -> 0.731Hurt
stack heatmaps into several FRN layers (H2+) vs input only (ablation)FAN-Face (ResNet-34) · IJB-B 1:1 verification (1M VGGFace2 subset)TAR @ FAR=1e-4: 0.864 -> 0.866No clear effect
use ArcFace loss instead of softmax with FAN-Face (ablation)FAN-Face (ResNet-34) · IJB-B 1:1 verification (1M VGGFace2 subset)TAR @ FAR=1e-4: 0.796 -> 0.876Helped
add FAN-Face integration to ArcFace ResNet-50FAN-Face (ResNet-50) · IJB-B (VGGFace2) TAR @ FAR=1e-4TAR: 0.902 -> 0.911Helped
add FAN-Face integration to ArcFace ResNet-34FAN-Face (ResNet-34) · IJB-C (VGGFace2) TAR @ FAR=1e-4TAR: 0.912 -> 0.926Helped
add FAN-Face integration to ArcFace ResNet-100 on MS1MV2FAN-Face (ResNet-100) · IJB-B (MS1MV2)TAR (%): 94.5 -> 95.4Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy