Papers by Ricardo Guerrero

1 papers
Efficient Vision-Language pre-training via domain-specific learning for human activities (2024.emnlp-main)

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Challenge: Current vision-language models owe their success to large-scale pretraining on web-collected data.
Approach: They propose a domain-aligned pretraining strategy that aligns the downstream tasks to the downstream domain without additional data collection.
Outcome: The proposed method outperforms existing models on large-scale vision-language training datasets while preserving generalist knowledge.

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