Chen, Po-Shin (2019): VideoToStill StillToStill Face Recognition dataset. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:abade25d-19fc-43c9-8b86-28d9a840fb2c

Dataset

• Artificial Intelligence and Image Processing
• Computer Software

Face recognition, Facial recognition systems, master thesis, Still-to-still face recognition, Still-to-Video (S2V), Trunk-branch ensemble convolutional neural networks, Video-2-Still (V2S), Video-to-still face recognition

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Po-Shin Chen

This is the lists for our created large scale video-to-still (still-to-still) face recognition dataset, which combined MS1MV2 dataset (https://github.com/deepinsight/insightface/wiki/Dataset-Zoo) and COX dataset (http://vipl.ict.ac.cn/view_database.php?id=3). For people who would like to use this lists to repeat our work, please sign the release agreement of COX dataset and cite all related papers/thesis.

• 2019-07-24 first online, published, posted

4TU.Centre for Research Data

media types: application/zip, text/plain, text/x-python

• http://vipl.ict.ac.cn/view_database.php?id=3
• https://arxiv.org/abs/1607.05427
• https://arxiv.org/abs/1801.07698
• https://github.com/deepinsight/insightface/wiki/Dataset-Zoo
• https://ieeexplore.ieee.org/document/7302053
• https://ieeexplore.ieee.org/document/7966443
• https://www.microsoft.com/en-us/research/project/ms-celeb-1m-challenge-recognizing-one-million-celebrities-real-world/
• https://www.researchgate.net/publication/295074418_MS-Celeb-1M_Challenge_of_Recognizing_One_Million_Celebrities_in_the_Real_World

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Software Technology