# GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition

**Type:** Papers  
**Canonical URL:** https://picoportal.org/library/papers/gloria-a-multimodal-global-local-representation-learning-framework-for-label/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shih-Cheng Huang,Liyue Shen,Matthew P. Lungren,Serena Yeung |
| Citations | 407 |
| DOI | 10.1109/iccv48922.2021.00391 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3201906559 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Matthew P. Lungren](https://picoportal.org/library/researchers/matthew-p-lungren/)
- [Serena Yeung](https://picoportal.org/library/researchers/serena-yeung/)

## Paper journal

- [2021 IEEE/CVF International Conference on Computer Vision (ICCV)](https://picoportal.org/library/journals/2021-ieee-cvf-international-conference-on-computer-vision-iccv/)

## Paper primary topic

- [Multimodal Machine Learning Applications](https://picoportal.org/library/topics/multimodal-machine-learning-applications/)

## Paper topics

- [Multimodal Machine Learning Applications](https://picoportal.org/library/topics/multimodal-machine-learning-applications/)
- [Topic Modeling](https://picoportal.org/library/topics/topic-modeling-2/)
- [Domain Adaptation and Few-Shot Learning](https://picoportal.org/library/topics/domain-adaptation-and-few-shot-learning/)

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Source: PICO Portal — public research metadata, principally OpenAlex. See https://picoportal.org/library/sources/ for provenance and https://picoportal.org/library/methodology/ for what these figures mean.