PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning
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Updated
Oct 10, 2018 - Python
PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning
Starter code in PyTorch for the Visual Dialog challenge
Code for CVPR'19 "Recursive Visual Attention in Visual Dialog"
✨ Official PyTorch Implementation for EMNLP'19 Paper, "Dual Attention Networks for Visual Reference Resolution in Visual Dialog"
PyTorch code for Reasoning Visual Dialogs with Structural and Partial Observations
This repository contains the Pytorch implementation for our SCAI (EMNLP-2018) submission "A Knowledge-Grounded Multimodal Search-Based Conversational Agent"
Visual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)
🌈 PyTorch Implementation for EMNLP'21 Findings "Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer"
Visual dialog agents with pre-trained vision-and-language encoders.
This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial languages using deep learning, relying on PyTorch (https://www.pytorch.org).
💬 Official PyTorch Implementation for CVPR'23 Paper, "The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
Repository to generate CLEVR-Dialog: A diagnostic dataset for Visual Dialog
Code for reproducing results in our paper SeqDialN: Sequential Visual Dialog Networks in Joint Visual-Linguistic Representation Space.
Code for ACMMM'20 ✨"Answer-Driven Visual State Estimator for Goal-Oriented Visual Dialogue"
Code repository for the final year project focusing on improving visual dialog by reducing modality biases.
(CVPR19Oral) Reasoning Visual Dialogs with Structural and Partial Observations
[EMNLP 22] Extending Phrase Grounding with Pronouns in Visual Dialogues.
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