Recent Advances in Vision-and-Language Pre-training (VLP)

Maintained by Feilong Chen. Last update on 2022/06/13.

Table of Contents

• Survey
• Image-based VLP
  • Representation Learning
  • Task-specific
  • Other Analysis
• Video-based VLP
• Other Transformer-based multimodal networks
• Other Resources

Survey

1. VLP: A Survey on Vision-Language Pre-training, arXiv 2022

Image-based VLP

Representation Learning

1. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks, NeurIPS 2019 [code]

2. LXMERT: Learning Cross-Modality Encoder Representations from Transformers, EMNLP 2019 [code]

3. VL-BERT: Pre-training of Generic Visual-Linguistic Representations, ICLR 2020 [code]

4. VisualBERT: A Simple and Performant Baseline for Vision and Language, arXiv 2019/08, ACL 2020 [code]

5. Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training, AAAI 2020

6. Unified Vision-Language Pre-Training for Image Captioning and VQA, AAAI 2020, [code], (VLP)

7. UNITER: Learning Universal Image-text Representations, ECCV 2020, [code]

8. Weak Supervision helps Emergence of Word-Object Alignment and improves Vision-Language Tasks, arXiv 2019/12

9. InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining, arXiv 2020/03

10. Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks, ECCV 2020, [code]

11. Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers, arXiv 2020/04

12. ERNIE-VIL: KNOWLEDGE ENHANCED VISION-LANGUAGE REPRESENTATIONS THROUGH SCENE GRAPH, arXiv 2020/06

13. DeVLBert: Learning Deconfounded Visio-Linguistic Representations, ACM MM 2020, [code]

14. X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers, EMNLP 2020

15. SEMVLP: VISION-LANGUAGE PRE-TRAINING BY ALIGNING SEMANTICS AT MULTIPLE LEVELS, ICLR 2021 submission

16. CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations, arXiv 2020/10

17. Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs, arXiv 2020/11

18. LAMP: Label Augmented Multimodal Pretraining, arXiv 2020/12

19. Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network, AAAI 2021

20. VinVL: Revisiting Visual Representations in Vision-Language Models, CVPR 2021, [code]

21. ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision, ICML 2021, [code]

22. OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation, arXiv 2021

23. UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning, ACL 2021, [code]

24. How Much Can CLIP Benefit Vision-and-Language Tasks?, arXiv 2021, [code]

25. Unifying Vision-and-Language Tasks via Text Generation, ICML 2021, [code]

26. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs, ACL 2021, [code]

27. SimVLM: Simple Visual Language Model Pretraining with Weak Supervision, arXiv 2021

28. VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts, arXiv 2021, [code]

29. Kaleido-BERT: Vision-Language Pre-training on Fashion Domain, CVPR2021, [code]

30. Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts, arXiv 2021, [code]

31. Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022, [code]

Task-specific

Image Caption

1. Image captioning: XGPT: Cross-modal Generative Pre-Training for Image Captioning, arXiv 2020/03

VQA

1. VQA: Fusion of Detected Objects in Text for Visual Question Answering, EMNLP 2019, [code], (B2T2)

2. TextVQA: Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA, CVPR 2020, [code], (M4C)

3. Chart VQA: STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering, EMNLP 2020.

4. Visual Question Generation: BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations, arXiv 2020/02

Visual Dialog

1. VisDial: VD-BERT: A Unified Vision and Dialog Transformer with BERT, EMNLP 2020 [code], (VD-BERT)

2. VisDial: Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline, ECCV 2020 [code], (VisDial-BERT)

3. VisDial: UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog, CVPR 2022

Text-Image Retrieval

1. Text-image retrieval: ImageBERT: Cross-Modal Pre-training with Large-scale Weak-supervised Image-text Data, arXiv 2020/01

2. Text-image retrieval: CROSS-PROBE BERT FOR EFFICIENT AND EFFECTIVE CROSS-MODAL SEARCH, ICLR 2021 submission.

3. Text-image retrieval: Learning Relation Alignment for Calibrated Cross-modal Retrieval, ACL 2021.

Visual Language Navigation

1. VLN: Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training, CVPR 2020, [code], (PREVALENT)

Visual Machine Reading Comprehension

1. VisualMRC: VisualMRC: Machine Reading Comprehension on Document Images, AAAI 2021, (LayoutT5, LayoutBART)

Other Tasks

1. Visual Relationship Detection: Visual Relationship Detection With Visual-Linguistic Knowledge From Multimodal Representations, IEEE Access 2021

Other Analysis

1. Multi-task Learning, 12-in-1: Multi-Task Vision and Language Representation Learning, CVPR 2020, [code]

2. Multi-task Learning, Unifying Vision-and-Language Tasks via Text Generation, arXiv 2021/02

3. Social Bias in VL Embedding, Measuring Social Biases in Grounded Vision and Language Embeddings, arXiv 2020/02, [code]

4. In-depth Analysis, Are we pretraining it right? Digging deeper into visio-linguistic pretraining,

5. In-depth Analysis, Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models, ECCV 2020 Spotlight

6. In-depth Analysis, A Closer Look at the Robustness of Vision-and-Language Pre-trained Models, arXiv 2020/12

7. Adversarial Training, Large-Scale Adversarial Training for Vision-and-Language Representation Learning, NeurIPS 2020 Spotlight

8. Adaptive Analysis, Adaptive Transformers for Learning Multimodal Representations, ACL SRW 2020

9. Neural Architecture Search, Deep Multimodal Neural Architecture Search, arXiv 2020/04

10. Dataset perspective, Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision, arXiv 2021/02

Video-based VLP

1. VideoBERT: A Joint Model for Video and Language Representation Learning, ICCV 2019

2. Learning Video Representations Using Contrastive Bidirectional Transformers, arXiv 2019/06, (CBT)

3. M-BERT: Injecting Multimodal Information in the BERT Structure, arXiv 2019/08

4. BERT for Large-scale Video Segment Classification with Test-time Augmentation, ICCV 2019 YouTube8M workshop, [code]

5. Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog, AAAI2020 DSTC8 workshop

6. Learning Spatiotemporal Features via Video and Text Pair Discrimination, arXiv 2020/01, (CPD), [code]

7. UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation, arXiv 2020/02

8. ActBERT: Learning Global-Local Video-Text Representations, CVPR 2020

9. HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training, EMNLP 2020

10. Video-Grounded Dialogues with Pretrained Generation Language Models, ACL 2020

11. Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training, arXiv 2020/07

12. Multimodal Pretraining for Dense Video Captioning, arXiv 2020/11

13. PARAMETER EFFICIENT MULTIMODAL TRANSFORMERS FOR VIDEO REPRESENTATION LEARNING, arXiv 2020/12

14. Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling, CVPR 2021

Other Transformer-based multimodal networks

1. Multi-Modality Cross Attention Network for Image and Sentence Matching, ICCV 2020

2. MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning, ACL 2020

3. History for Visual Dialog: Do we really need it?, ACL 2020

4. Cross-Modality Relevance for Reasoning on Language and Vision, ACL 2020

Other Resources

• Two recent surveys on pretrained language models
  • Pre-trained Models for Natural Language Processing: A Survey, arXiv 2020/03
  • A Survey on Contextual Embeddings, arXiv 2020/03
• Other surveys about multimodal research
  • Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods, arXiv 2019
  • Deep Multimodal Representation Learning: A Survey, arXiv 2019
  • Multimodal Machine Learning: A Survey and Taxonomy, TPAMI 2018
  • A Comprehensive Survey of Deep Learning for Image Captioning, ACM Computing Surveys 2018
• Other repositories of relevant reading list
  • Pre-trained Languge Model Papers from THU-NLP
  • BERT-related Papers
  • Reading List for Topics in Multimodal Machine Learning
  • A repository of vision and language papers
  • Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
• Simple Survey on VLP
  • VLP Survey on Representation Learning, Feilong Chen, BaiduYun password:bujb
  • VLP Survey on Multimodal Retrieval, Duoduo Feng, BaiduYun, password:xobv