ViLEM: Visual-Language Error Modeling for Image-Text Retrieval

Author:

Chen Yuxin1,Ma Zongyang1,Zhang Ziqi1,Qi Zhongang2,Yuan Chunfeng1,Shan Ying2,Li Bing1,HU Weiming1,Qie Xiaohu3,Wu JianPing4

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences

2. ARC Lab

3. Tencent PCG

4. Tsinghua University

Publisher

IEEE

Reference42 articles.

1. Vilt: Vision-and-language transformer without convolution or region supervision;kim;International Conference on Machine Learning,0

2. Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction

3. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin ming-wei;Proceedings of NAACL-HLT,0

4. LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

5. Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening;IEEE Transactions on Circuits and Systems for Video Technology;2023

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