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awesome-visual-dialog
Recent Advances in Visual Dialog
https://github.com/phellonchen/awesome-visual-dialog
Last synced: 5 days ago
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Visual Dialog
- Visual Dialog - mlp-lab/visdial)
- Learning to Ground Visual Objects for Visual Dialog
- VU-BERT: A Unified framework for Visual Dialog
- History for Visual Dialog: Do we really need it?
- VD-BERT: A Unified Vision and Dialog Transformer with BERT - BERT)
- GoG: Graph-over-Graph Network for Visual Dialog
- Multimodal Incremental Transformer for Visual Dialogue Generation
- Improving Cross-Modal Understanding in Visual Dialog via Contrastive Learning
- Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
- Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
- Image-Question-Answer Synergistic Network for Visual Dialog
- Reasoning Visual Dialogs with Structural and Partial Observations - gnn)
- Recursive Visual Attention in Visual Dialog
- Making History Matter: History-Advantage Sequence Training for Visual Dialog
- Granular Multimodal Attention Networks for Visual Dialog
- Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
- Dual Attention Networks for Visual Reference Resolution in Visual Dialog - visdial)
- DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog
- Modality-Balanced Models for Visual Dialogue
- DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
- Two Causal Principles for Improving Visual Dialog - principles)
- DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
- KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue
- Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline - bert)
- Visual Dialog: Light-weight Transformer for Many Inputs
- Multi-View Attention Network for Visual Dialog - VisDial)
- Unsupervised and Pseudo-Supervised Vision-Language Alignment in Visual Dialog
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