Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
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Abstract (arXiv)
Prior work in visual dialog has focused on training deep neural models on VisDial in isolation. Instead, we present an approach to leverage pretraining on related vision-language datasets before transferring to visual dialog. We adapt the recently proposed ViLBERT (Lu et al., 2019) model for multi-turn visually-grounded conversations. Our model is pretrained on the Conceptual Captions and Visual Question Answering datasets, and finetuned on VisDial. Our best single model outperforms prior published work (including model ensembles) by more than 1% absolute on NDCG and MRR. Next, we find that additional finetuning using "dense" annotations in VisDial leads to even higher NDCG -- more than 10% over our base model -- but hurts MRR -- more than 17% below our base model! This highlights a trade-off between the two primary metrics -- NDCG and MRR -- which we find is due to dense annotations not correlating well with the original ground-truth answers to questions.
Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Dec 2019.
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Citing papers per year: 2021: 11; 2022: 24; 2023: 14; 2024: 6; 2025: 5.
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- 2022Local-Global Context Aware Transformer for Language-Guided Video Segmentation18 Mar 2022
- 2022Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting8 Mar 2022
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- 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation28 Jan 2022
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- 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generationcited by 4,310
- 2023InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuningcited by 2,855
- 2022VLP: A Survey on Vision-Language Pre-trainingcited by 159
- 2023BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questionscited by 125
- 2022Vision-Language Pre-training: Basics, Recent Advances, and Future Trendscited by 117
- 2021Kaleido-BERT: Vision-Language Pre-training on Fashion Domaincited by 67
- 2022Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spottingcited by 27
- 2023BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions19 Aug 2023
- 2023InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning11 May 2023
- 2022Vision-Language Pre-training: Basics, Recent Advances, and Future Trends17 Oct 2022
- 2022Flamingo: a Visual Language Model for Few-Shot Learning29 Apr 2022
- 2022Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting8 Mar 2022
- 2022VLP: A Survey on Vision-Language Pre-training18 Feb 2022
- 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation28 Jan 2022
- 2021Kaleido-BERT: Vision-Language Pre-training on Fashion Domain30 Mar 2021
- 2022Multimodal Learning with Transformers: A Surveycited by 399
- 2024VideoLLM-online: Online Video Large Language Model for Streaming Videocited by 216
- 2023Large-scale Multi-Modal Pre-trained Models: A Comprehensive Surveycited by 153
- 2023Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Predictioncited by 92
- 2025LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistantcited by 56
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- 2022Local-Global Context Aware Transformer for Language-Guided Video Segmentationcited by 41
- 2021Perceptual Score: What Data Modalities Does Your Model Perceive?cited by 35
- 2022Multimodal Knowledge Alignment with Reinforcement Learningcited by 30
- 2023Chatting Makes Perfect: Chat-based Image Retrievalcited by 25
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12 most cited of 50 All 50 (JSON)
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- 2025LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant5 Mar 2025
- 2025V2Dial: Unification of Video and Visual Dialog via Multimodal Experts3 Mar 2025
- 2025Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval26 Jan 2025
- 2024Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques24 Oct 2024
- 2024Grounding is All You Need? Dual Temporal Grounding for Video Dialog8 Oct 2024
- 2024Enhancing Visual Dialog State Tracking through Iterative Object-Entity Alignment in Multi-Round Conversations13 Aug 2024
- 2024VideoLLM-online: Online Video Large Language Model for Streaming Video17 Jun 2024
- 2024KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs6 Mar 2024
- 2024Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks27 Jan 2024
- 2023InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models21 Dec 2023
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