# ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ace-ally-complementary-experts-for-solving-long-tailed-recognition-in-one-shot/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jiarui Cai,Yizhou Wang,Jenq–Neng Hwang |
| Citations | 133 |
| DOI | 10.1109/iccv48922.2021.00018 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3202087803 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Yizhou Wang](https://scholariq.org/researchers/yizhou-wang/)

## Paper primary topic

- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

## Paper topics

- [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/)
- [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.