BOOK-CHAPTER

Centroid Tuplet Loss for Person Re-Identification

Duc Viet BuiMasao KuboHiroshi Satō

Year: 2023 Lecture notes on data engineering and communications technologies Pages: 274-283   Publisher: Springer International Publishing
Keywords:
Centroid Metric (unit) Benchmark (surveying) Computer science Outlier Artificial intelligence Identification (biology) Similarity (geometry) Embedding Convergence (economics) Machine learning Pattern recognition (psychology) Sample (material) Task (project management) Deep learning Function (biology) Data mining Image (mathematics) Geography Engineering

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
36
Refs
0.41
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Human Pose and Action Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Modified centroid triplet loss for person re-identification

Alaa AlnissanyYazan Dayoub

Journal:   Journal Of Big Data Year: 2023 Vol: 10 (1)
JOURNAL ARTICLE

Person Re-identification with Joint-Loss

Junqi LiuNa JiangZhong ZhouYue Xu

Year: 2017 Vol: 2008 Pages: 1-6
JOURNAL ARTICLE

Person re-identification via adaptive verification loss

Hui TianXiang ZhangLong LanZhigang Luo

Journal:   Neurocomputing Year: 2019 Vol: 359 Pages: 93-101
JOURNAL ARTICLE

Person Re-Identification With Triplet Focal Loss

Shizhou ZhangQi ZhangXing WeiYanning ZhangYong Xia

Journal:   IEEE Access Year: 2018 Vol: 6 Pages: 78092-78099
© 2026 ScienceGate Book Chapters — All rights reserved.