TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Datasets/IJB-A

IJB-A

IARPA Janus Benchmark A

ImagesCustomIntroduced 2015-01-01

The IARPA Janus Benchmark A (IJB-A) database is developed with the aim to augment more challenges to the face recognition task by collecting facial images with a wide variations in pose, illumination, expression, resolution and occlusion. IJB-A is constructed by collecting 5,712 images and 2,085 videos from 500 identities, with an average of 11.4 images and 4.2 videos per identity.

Source: von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification

Image Source: Ruan et al

Benchmarks

3D/TAR @ FAR=0.013D/TAR @ FAR=0.0013D/TAR @ FAR=0.13D/Accuracy3D Face Modelling/TAR @ FAR=0.013D Face Modelling/TAR @ FAR=0.0013D Face Modelling/TAR @ FAR=0.13D Face Modelling/Accuracy3D Face Reconstruction/TAR @ FAR=0.013D Face Reconstruction/TAR @ FAR=0.0013D Face Reconstruction/TAR @ FAR=0.13D Face Reconstruction/AccuracyFace Reconstruction/TAR @ FAR=0.01Face Reconstruction/TAR @ FAR=0.001Face Reconstruction/TAR @ FAR=0.1Face Reconstruction/AccuracyFace Verification/TAR @ FAR=0.01Face Verification/TAR @ FAR=0.001Face Verification/TAR @ FAR=0.1Facial Recognition and Modelling/TAR @ FAR=0.01Facial Recognition and Modelling/TAR @ FAR=0.001Facial Recognition and Modelling/TAR @ FAR=0.1Facial Recognition and Modelling/Accuracy

Statistics

Papers
156
Benchmarks
23

Links

Homepage

Tasks

3D3D Face Modelling3D Face ReconstructionFace IdentificationFace ReconstructionFace VerificationFacial Recognition and Modelling