KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation
Yongfei Liu | Chenfei Wu | Shao-Yen Tseng | Vasudev Lal | Xuming He | Nan Duan
Findings of the Association for Computational Linguistics: NAACL 2022
Self-supervised vision-and-language pretraining (VLP) aims to learn transferable multi-modal representations from large-scale image-text data and to achieve strong performances on a broad scope of vision-language tasks after finetuning. Previous mainstream VLP approaches typically adopt a two-step strategy relying on external object detectors to encode images in a multi-modal Transformer framework, which suffer from restrictive object concept space, limited image context and inefficient computation. In this paper, we propose an object-aware end-to-end VLP framework, which directly feeds image grid features from CNNs into the Transformer and learns the multi-modal representations jointly. More importantly, we propose to perform object knowledge distillation to facilitate learning cross-modal alignment at different semantic levels. To achieve that, we design two novel pretext tasks by taking object features and their semantic labels from external detectors as supervision: 1.) Object-guided masked vision modeling task focuses on enforcing object-aware representation learning in the multi-modal Transformer; 2.) Phrase-region alignment task aims to improve cross-modal alignment by utilizing the similarities between noun phrases and object labels in the linguistic space. Extensive experiments on a wide range of vision-language tasks demonstrate the efficacy of our proposed framework, and we achieve competitive or superior performances over the existing pretraining strategies.
GEM: A General Evaluation Benchmark for Multimodal Tasks
Lin Su | Nan Duan | Edward Cui | Lei Ji | Chenfei Wu | Huaishao Luo | Yongfei Liu | Ming Zhong | Taroon Bharti | Arun Sacheti
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Yongfei Liu 2
- Nan Duan 2
- Shao-Yen Tseng 1
- Vasudev Lal 1
- Xuming He 1
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