# Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multimodal-co-learning-challenges-applications-with-datasets-recent-advances-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Anil Rahate,Rahee Walambe,Sheela Ramanna,Ketan Kotecha |
| Citations | 206 |
| DOI | 10.1016/j.inffus.2021.12.003 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2107.13782 |
| OpenAlex ID | https://openalex.org/W3184679245 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Ketan Kotecha](https://scholariq.org/researchers/ketan-kotecha/)

## Paper primary topic

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

## Paper topics

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

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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.