106 citations · 248 across the 15 of their papers we have counts for
4 papers · 1 filter
X-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
Yan Zeng, Xinsong Zhang, Hang Li +3
Vision language pre-training aims to learn alignments between vision and language from a large amount of data. Most existing methods only learn image-text alignments. Some others u…
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning
Tiannan Wang, Wangchunshu Zhou, Yan Zeng +1
Pre-trained vision-language models (VLMs) have achieved impressive results in a range of vision-language tasks. However, popular VLMs usually consist of hundreds of millions of par…
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
Yan Zeng, Wangchunshu Zhou, Ao Luo +2
In this paper, we introduce Cross-View Language Modeling, a simple and effective pre-training framework that unifies cross-lingual and cross-modal pre-training with shared architec…
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models
Wangchunshu Zhou, Yan Zeng, Shizhe Diao +1
Recent advances in vision-language pre-training (VLP) have demonstrated impressive performance in a range of vision-language (VL) tasks. However, there exist several challenges for…