Cargando…
Large-Scale Person Re-Identification Based on Deep Hash Learning
Person re-identification in the image processing domain has been a challenging research topic due to the influence of pedestrian posture, background, lighting, and other factors. In this paper, the method of harsh learning is applied in person re-identification, and we propose a person re-identifica...
Autores principales: | Ma, Xian-Qin, Yu, Chong-Chong, Chen, Xiu-Xin, Zhou, Lan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514938/ https://www.ncbi.nlm.nih.gov/pubmed/33267163 http://dx.doi.org/10.3390/e21050449 |
Ejemplares similares
-
Bodyprint—A Meta-Feature Based LSTM Hashing Model for Person Re-Identification
por: Avola, Danilo, et al.
Publicado: (2020) -
Deep Unsupervised Hashing for Large-Scale Cross-Modal Retrieval Using Knowledge Distillation Model
por: Li, Mingyong, et al.
Publicado: (2021) -
Hashing Based Prediction for Large-Scale Kernel Machine
por: Lu, Lijing, et al.
Publicado: (2020) -
MapReduce Based Personalized Locality Sensitive Hashing for Similarity Joins on Large Scale Data
por: Wang, Jingjing, et al.
Publicado: (2015) -
Identification of all-against-all protein–protein interactions based on deep hash learning
por: Jiang, Yue, et al.
Publicado: (2022)