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Few-Shot Class-Incremental Learning.

, , , , , и . CVPR, стр. 12180-12189. Computer Vision Foundation / IEEE, (2020)

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Yihong Wang

Yihong Wang

Yihong Zhong

Yihong Hu

Jing Gong

 

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Real-time multiple-object tracking and anomaly detection., и . Storage and Retrieval Methods and Applications for Multimedia, том 5682 из SPIE Proceedings, стр. 173-182. SPIE, (2005)Document clustering based on non-negative matrix factorization, , и . SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28 - August 1, 2003, Toronto, Canada, стр. 267--273. ACM, (2003)A latent topic model for linked documents., , , , и . SIGIR, стр. 720-721. ACM, (2009)Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification., , , , , и . CoRR, (2017)A Biologically Inspired Deep CNN Model., , , и . PCM (1), том 9916 из Lecture Notes in Computer Science, стр. 540-549. Springer, (2016)Lessons Learned from Building a Terabyte Digital Video Library., , , и . Computer, 32 (2): 66-73 (1999)Incorporating image degeneration modeling with multitask learning for image super-resolution., , , и . ICIP, стр. 2110-2114. IEEE, (2015)Deep Ranking Model for Person Re-identification with Pairwise Similarity Comparison., , , и . PCM (2), том 9917 из Lecture Notes in Computer Science, стр. 84-94. Springer, (2016)Mining driving safety pattern using semi-supervised learning on time series data.. ICME, стр. 1520-1523. IEEE, (2009)Integrating Document Clustering and Multidocument Summarization., , , , и . ACM Trans. Knowl. Discov. Data, 5 (3): 14:1-14:26 (2011)