# Balanced Deep Supervised Hashing

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/balanced-deep-supervised-hashing/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hefei Ling,Yang Fang,Lei Wu,Ping Li,Jiazhong Chen,Fuhao Zou,Jialie Shen |
| Citations | 6 |
| DOI | 10.32604/cmc.2019.05588 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.32604/cmc.2019.05588 |
| OpenAlex ID | https://openalex.org/W3143993845 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Yang Fang](https://scholariq.org/researchers/yang-fang/)

## Paper journal

- [Computers, materials & continua/Computers, materials & continua (Print)](https://scholariq.org/journals/computers-materials-and-continua-computers-materials-and-continua-print/)

## Paper primary topic

- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

## Paper topics

- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.