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Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership.

, , , , and . Pattern Recognit., (2017)

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Dynamic Training Data Dropout for Robust Deep Face Recognition., , , , , , and . IEEE Trans. Multim., (2022)Binary matching for high-dimensional image descriptors., , and . ACPR, page 401-405. IEEE, (2015)Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning., , , and . Pattern Recognit., 47 (12): 3738-3749 (2014)Scalable batch-correction approach for integrating large-scale single-cell transcriptomes., , , , , , , , , and 2 other author(s). Briefings Bioinform., (2022)Deep Correlation Feature Learning for Face Verification in the Wild., , , and . IEEE Signal Process. Lett., 24 (12): 1877-1881 (2017)FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services., , , and . IJCAI, page 3231-3237. ijcai.org, (2017)FGAN: Fan-Shaped GAN for Racial Transformation., , , and . IJCB, page 1-7. IEEE, (2020)Locally Rejected Metric Learning Based False Positives Filtering for Face Detection., , , and . CCBR, volume 9967 of Lecture Notes in Computer Science, page 13-21. (2016)Saliency Region Detection via Graph Model and Statistical Learning., , , and . CCPR (2), volume 663 of Communications in Computer and Information Science, page 3-13. (2016)Augmented Face Representation Learning via Transitive Distillation., , , , , , and . FG, page 1-8. IEEE, (2021)