Papers by Giacomo Nebbia
Synonym relations affect object detection learned on vision-language data (2024.findings-naacl)
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| Challenge: | a recent study shows that vision-language models that accept textual input are not robust to variations in how input is provided. |
| Approach: | They propose two approaches to improve vision-language object detectors' performance . they use back-translation and class embedding enrichment to improve their models . |
| Outcome: | The proposed approaches improve performance on synonyms from mAP@0.3=33.87% to 37.93%. |