Effect of Vision-and-Language Extensions on Natural Language Understanding in Vision-and-Language Models

By Taichi Iki, Akiko Aizawa. 2021

6 citations recorded by the source corpus.

Subfields: Multimodal Learning

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In Multimodal Learning

1. Wenliang Dai
2. Pascale Fung
3. Qun Liu
4. Lifeng Shang

Citations in the corpus

• Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation (2022, background): “…network to the student network by max- 147 imizing the mutual information between the two 148 networks, and is recently extended to transfer the 149 knowledge from the pre-trained multimodal model 150 CLIP for zero-shot detection (Gu et al., 2021) and 151 multilingual setting (Jain et al., 2021).”