# A Survey on Few-Shot Techniques in the Context of Computer Vision Applications Based on Deep Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-survey-on-few-shot-techniques-in-the-context-of-computer-vision-applications/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Miguel G. San-Emeterio |
| Citations | 3 |
| DOI | 10.1007/978-3-031-13324-4_2 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4289668441 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Miguel G. San-Emeterio](https://scholariq.org/researchers/miguel-g-san-emeterio/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

## Paper topics

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.