paper: http://vis-www.cs.umass.edu/fddb/fddb.pdf
dataset: http://vis-www.cs.umass.edu/fddb/index.html#download
extreme scale
paper: https://arxiv.org/pdf/1511.06523.pdf
dataset: http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/index.html
occlusion
paper: http://openaccess.thecvf.com/content_cvpr_2017/papers/Ge_Detecting_Masked_Faces_CVPR_2017_paper.pdf
dataset: http://www.escience.cn/people/geshiming/mafa.html
hight resolution
paper: https://arxiv.org/pdf/1804.06559.pdf
different weather
paper: https://arxiv.org/abs/1804.10275
dataset: https://github.com/hezhangsprinter/UFDD
paper: https://arxiv.org/pdf/1805.07566.pdf
paper: http://www.cbsr.ia.ac.cn/faceevaluation/faceevaluation15.pdf
dataset: http://www.cbsr.ia.ac.cn/faceevaluation/#reference
paper: https://zhaoj9014.github.io/pub/IJBA_1N_report.pdf
dataset: https://www.nist.gov/itl/iad/image-group/ijb-dataset-request-form
dataset: http://www.whdeng.cn/RFW/index.html
paper: https://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01299.pdf
dataset: https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/
paper: http://cmlab.csie.ntu.edu.tw/~sirius42/papers/chen14eccv.pdf
dataset: https://bcsiriuschen.github.io/CARC/
dataset: https://talhassner.github.io/home/projects/Adience/Adience-data.html
statistic: Total number of images: 26,580 Total number of subjects: 2,284 Number of age groups: 8 (0-2, 4-6, 8-13, 15-20, 25-32, 38-43, 48-53, 60-) Gender labels: Yes In the wild: Yes Subject labels: Yes
dataset: https://susanqq.github.io/UTKFace/
dataset: http://chalearnlap.cvc.uab.es/dataset/26/description/
paper: https://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas_iccv_2013_300_w.pdf
occluded to different degrees
paper: https://www.microsoft.com/en-us/research/wp-content/uploads/2013/12/BurgosArtizzuICCV13rcpr.pdf
faces with large head pose up to 120◦ for yaw and 90◦ for pitch and roll.
paper: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.384.2988&rep=rep1&type=pdf
dataset: https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/
from wider face dataset
paper: https://arxiv.org/pdf/1805.10483.pdf
dataset: https://wywu.github.io/projects/LAB/WFLW.html
paper: http://gravis.dmi.unibas.ch/publications/2009/BFModel09.pdf
dataset: https://faces.cs.unibas.ch/bfm/main.php?nav=1-0&id=basel_face_model
realted
morphable model viewer: https://github.com/unibas-gravis/basel-face-model-viewer
Registration Pipeline: https://github.com/unibas-gravis/basel-face-pipeline
paper: https://ibug.doc.ic.ac.uk/media/uploads/documents/0002.pdf
dataset: https://ibug.doc.ic.ac.uk/resources/lsfm/
paper:https://arxiv.org/pdf/1901.08971.pdf
datset: https://github.com/ondyari/FaceForensics
paper: https://arxiv.org/pdf/1909.12962.pdf
datset: http://www.cs.albany.edu/~lsw/celeb-deepfakeforensics.html
paper: https://arxiv.org/pdf/1910.08854.pdf
datset: https://deepfakedetectionchallenge.ai/
paper: https://arxiv.org/pdf/2001.03024.pdf
datset: https://liming-jiang.com/projects/DrF1/DrF1.html
paper: http://www.cs.joensuu.fi/pages/tkinnu/webpage/pdf/audio_visual_kinship_ICB2019.pdf
paper: https://web.northeastern.edu/smilelab/fiw/papers/tpami-final.pdf