# Weakly Supervised Few-Shot and Zero-Shot Semantic Segmentation with Mean Instance Aware Prompt Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/weakly-supervised-few-shot-and-zero-shot-semantic-segmentation-with-mean/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Prashant Pandey,Mustafa Chasmai,Monish Natarajan,Brejesh Lall |
| Citations | 3 |
| DOI | 10.1109/icme55011.2023.00009 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4386158984 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Mustafa Chasmai](https://scholariq.org/researchers/mustafa-chasmai/)

## 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/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [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.