Retrieval-enriched zero-shot image classification in low-resource domains (2024.emnlp-main)
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| Challenge: | Low-resource domains are those where data or annotations are scarce. |
| Approach: | They propose a retrieval-based method for low-resource domains that trains without training . they use web-crawled databases to retrieve relevant textual information from query images . |
| Outcome: | The proposed method outperforms existing training-based methods in low-resource domains . it retrieves relevant textual information from large web-crawled databases . |
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