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Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark
Jiaxi Gu · Xiaojun Meng · Guansong Lu · Lu Hou · Niu Minzhe · Xiaodan Liang · Lewei Yao · Runhui Huang · Wei Zhang · Xin Jiang · Chunjing XU · Hang Xu

Thu Dec 01 09:00 AM -- 11:00 AM (PST) @ Hall J #1013
Vision-Language Pre-training (VLP) models have shown remarkable performance on various downstream tasks. Their success heavily relies on the scale of pre-trained cross-modal datasets. However, the lack of large-scale datasets and benchmarks in Chinese hinders the development of Chinese VLP models and broader multilingual applications. In this work, we release a large-scale Chinese cross-modal dataset named Wukong, which contains 100 million Chinese image-text pairs collected from the web. Wukong aims to benchmark different multi-modal pre-training methods to facilitate the VLP research and community development. Furthermore, we release a group of models pre-trained with various image encoders (ViT-B/ViT-L/SwinT) and also apply advanced pre-training techniques into VLP such as locked-image text tuning, token-wise similarity in contrastive learning, and reduced-token interaction. Extensive experiments and a benchmarking of different downstream tasks including a new largest human-verified image-text test dataset are also provided. Experiments show that Wukong can serve as a promising Chinese pre-training dataset and benchmark for different cross-modal learning methods. For the zero-shot image classification task on 10 datasets, $Wukong_\text{ViT-L}$ achieves an average accuracy of 73.03%. For the image-text retrieval task, it achieves a mean recall of 71.6% on AIC-ICC which is 12.9% higher than WenLan 2.0. Also, our Wukong models are benchmarked on downstream tasks with other variants on multiple datasets, e.g., Flickr8K-CN, Flickr-30K-CN, COCO-CN, et al. More information can be referred to https://wukong-dataset.github.io/wukong-dataset/.

Author Information

Jiaxi Gu (Huawei Noah's Ark Lab)
Xiaojun Meng (Huawei Technologies Ltd.)
Guansong Lu (Huawei Noah‘s Ark Lab)
Lu Hou (Huawei Technologies Co., Ltd)
Niu Minzhe (Huawei)
Xiaodan Liang (Sun Yat-sen University)
Lewei Yao (Harbin Institute of Technology)
Wei Zhang (Noah's Ark Lab, Huawei Inc.)
Xin Jiang (Noah’s Ark Lab, Huawei Technologies)
Chunjing XU (Huawei Technologies)
Hang Xu (Huawei Noah’s Ark Lab)

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