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Found 4 papers, 1 papers with code
TMEKU System for the WAT2021 Multimodal Translation Task
We introduce our TMEKU system submitted to the English-Japanese Multimodal Translation Task for WAT 2021.
AdvLoRA: Adversarial Low-Rank Adaptation of Vision-Language Models
Different from LoRA, we improve the efficiency and robustness of adversarial adaptation by designing a novel reparameterizing method based on parameter clustering and parameter alignment.
Double Attention-based Multimodal Neural Machine Translation with Semantic Image Regions
In contrast, we propose the application of semantic image regions for MNMT by integrating visual and textual features using two individual attention mechanisms (double attention).
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