SOTAVerified

Face Recognition

Facial Recognition is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those detected faces.

The state of the art tables for this task are contained mainly in the consistent parts of the task : the face verification and face identification tasks.

( Image credit: Face Verification )

Papers

Showing 121130 of 2329 papers

TitleStatusHype
HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere0
An Enhancement of Haar Cascade Algorithm Applied to Face Recognition for Gate Pass Security0
Face Reconstruction from Face Embeddings using Adapter to a Face Foundation Model0
Aligning Characteristic Descriptors with Images for Human-Expert-like Explainability0
Digi2Real: Bridging the Realism Gap in Synthetic Data Face Recognition via Foundation Models0
Undermining Image and Text Classification Algorithms Using Adversarial Attacks0
Face Anonymization Made SimpleCode3
FRoundation: Are Foundation Models Ready for Face Recognition?Code1
Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities0
A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems using Disparity Maps0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PIC - ArcFaceFNMR [%] @ 10-3 FMR4.38Unverified
2GhostFaceNetV2-1 (MS1MV3)Accuracy1Unverified
3SymFace + AdaFace + ResNet100 +WebFace (MS1MV2)Accuracy1Unverified
4ProdpolyAccuracy1Unverified
5DiscFaceAccuracy1Unverified
6ArcFace + MS1MV2 + R100Accuracy1Unverified
7DCQAccuracy1Unverified
8AdaFace + WebFace4M + R100Accuracy1Unverified
9EdgeFace - S (g=0.5)Accuracy1Unverified
10EdgeFace - XS (g=0.6)Accuracy1Unverified
#ModelMetricClaimedVerifiedStatus
1GhostFaceNetV2-1Accuracy0.99Unverified
2SymFace + AdaFace + ResNet100 +WebFaceAccuracy0.99Unverified
3ElasticFace-ArcAccuracy0.99Unverified
4DiscFaceAccuracy0.99Unverified
5CircleLoss(ours)Accuracy0.96Unverified
6EdgeFace - S (g=0.5)Accuracy0.96Unverified
7DCQAccuracy0.93Unverified
#ModelMetricClaimedVerifiedStatus
1Fine-tuned ArcFaceAccuracy91.47Unverified
2Fine-tuned FaceNetAccuracy88.06Unverified
3ArcFaceAccuracy87.95Unverified
4Fine-tuned VGG-FaceAccuracy86.85Unverified
5FaceNetAccuracy84.21Unverified
6VGG-FaceAccuracy79.65Unverified
#ModelMetricClaimedVerifiedStatus
1Fine-tuned ArcFaceAccuracy95.43Unverified
2Fine-tuned FaceNetAccuracy93.58Unverified
3ArcFaceAccuracy91.78Unverified
4Fine-tuned VGG-FaceAccuracy91.51Unverified
5FaceNetAccuracy90.96Unverified
6VGG-FaceAccuracy84.56Unverified
#ModelMetricClaimedVerifiedStatus
1MS1MV2, R100, SFaceAccuracy91.57Unverified
2MS1MV2, R100, ArcfaceAccuracy90.57Unverified
3MS1MV2, R100, CurricularfaceAccuracy90.43Unverified
4VGGFace2, R50, ArcFaceAccuracy85.95Unverified
5CASIA-WebFace, R50, CosFaceAccuracy82.52Unverified
6Private-Asia, R50, ArcFaceAccuracy77.2Unverified
#ModelMetricClaimedVerifiedStatus
1ProdpolyAccuracy0.98Unverified
2ElasticFace-CosAccuracy0.98Unverified
3Transformer loss+ArcFace ResNet100Accuracy0.98Unverified
4DCQAccuracy0.98Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy99.2Unverified
2PIC - ArcFaceFNMR [%] @ 10-3 FMR4.22Unverified
3PIC - MagFaceFNMR [%] @ 10-3 FMR3.92Unverified
4PIC - QMagFaceFNMR [%] @ 10-3 FMR3.24Unverified
#ModelMetricClaimedVerifiedStatus
1ElasticFace-CosTAR @ FAR=0.00010.95Unverified
2ArcFace+CSFMRank-10.95Unverified
3ArcFace + MS1MV2 + R100Rank-10.95Unverified
4AdaFace + MS1MV3 + R100TAR @ FAR=0.00010.94Unverified
#ModelMetricClaimedVerifiedStatus
1ProdpolyAccuracy0.96Unverified
2ElasticFace-ArcAccuracy0.96Unverified
3GhostFaceNetV2-1Accuracy0.96Unverified
#ModelMetricClaimedVerifiedStatus
1PIC - ArcFaceFNMR [%] @ 10-3 FMR10.1Unverified
2PIC - QMagFaceFNMR [%] @ 10-3 FMR9.78Unverified
3PIC - MagFaceFNMR [%] @ 10-3 FMR9.75Unverified
#ModelMetricClaimedVerifiedStatus
1ArcFace + PPLTAR@FAR=0.000178.8Unverified
2MaskInv-HGTAR@FAR=0.000178.36Unverified
3FocusFaceTAR@FAR=0.000177.77Unverified
#ModelMetricClaimedVerifiedStatus
1AdaFace+PPLTAR@FAR=0.000184.27Unverified
2MaskInv-HGTAR@FAR=0.000183.82Unverified
3FocusFaceTAR@FAR=0.000183.4Unverified
#ModelMetricClaimedVerifiedStatus
1PIC - QMagFaceFNMR [%] @ 10-3 FMR0.96Unverified
2PIC - MagFaceFNMR [%] @ 10-3 FMR0.96Unverified
3PIC - ArcFaceFNMR [%] @ 10-3 FMR0.05Unverified
#ModelMetricClaimedVerifiedStatus
1FaceNet+Adaptive ThresholdAverage Accuracy (10 times)84.3Unverified
2FaceNet+Fixed Threshold (0.2487)Average Accuracy (10 times)80.6Unverified
#ModelMetricClaimedVerifiedStatus
1Model with Up Convolution + DoG Filter (Aligned)Rank-185Unverified
2DPMRank-171Unverified
#ModelMetricClaimedVerifiedStatus
1FaceNet+Adaptive ThresholdAverage Accuracy (10 times)83.79Unverified
2FaceNet+Fixed Threshold (0.3968)Average Accuracy (10 times)80.72Unverified
#ModelMetricClaimedVerifiedStatus
1GhostFaceNetV2-1Accuracy0.95Unverified
2ElasticFace-ArcAccuracy0.93Unverified
#ModelMetricClaimedVerifiedStatus
1FaceNet+Adaptive ThresholdAverage Accuracy (10 times)76.46Unverified
2FaceNet+Fixed Threshold (0.3779)Average Accuracy (10 times)53.97Unverified
#ModelMetricClaimedVerifiedStatus
1Wang et al. [5]Rank-194.5Unverified
2Multi-taskRank-184.32Unverified
#ModelMetricClaimedVerifiedStatus
1Model with Up Convolution + DoG FilterRank-187.2Unverified
2DPMRank-183.73Unverified
#ModelMetricClaimedVerifiedStatus
1MCNTAR @ FAR=0.010.54Unverified
#ModelMetricClaimedVerifiedStatus
1GhostFaceNetV2-1Accuracy99.91Unverified
#ModelMetricClaimedVerifiedStatus
1Model with Up Convolution + DoG FilterRank-188.33Unverified
#ModelMetricClaimedVerifiedStatus
1Partial FCMFR-ALL97.85Unverified
#ModelMetricClaimedVerifiedStatus
1FaceTransformer+OctupletLossAccuracy0.95Unverified