Papers by Sumedh Shenoy
Nearest Neighbor Normalization Improves Multimodal Retrieval (2024.emnlp-main)
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| Challenge: | Recent training-free methods suggest that accuracy can be improved without fine-tuning. |
| Approach: | They propose a method for correcting errors in trained contrastive image-text retrieval models with no additional training, called Nearest Neighbor Normalization. |
| Outcome: | The proposed method improves retrieval metrics for all contrastive models and datasets and does not require training on the reference database. |