[22] Junnan Li, Dongxu Li, Caiming Xiong, and Steven C. H. Hoi. BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. In ICML, pages 12888–12900, 2022. 3, 4, 5
[23] Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, and Steven Chu-Hong Hoi. Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, and Jennifer Wortman Vaughan, editors, NeurIPS, pages 9694-9705, 2021. 3, 4
[24] Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, and Jianfeng Gao. Oscar: Object-semantics aligned pre-training for vision-language tasks. In ECCV, August 2020. 3, 4
[25] Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, and Ming Zhou. Visual question generation as dual task of visual question answering. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 6116-6124, 2018. 3
[26] Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dólár, and C. Lawrence Zitnick. Microsoft COCO: Common Objects in Context. In ECCV, volume 8693, pages 740-755, 2014. 4, 5
[27] Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney, and Stephen Gould. Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. In ICCV, pages 2105–2114, 2021. 1, 4
[28] Andreas Lommatzsch and Jonas Katins. An information retrieval-based approach for building intuitive chatbots for large knowledge bases. In LWDA, pages 343-352, 2019. 3
[29] Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. In NeurIPS, pages 13-23, 2019. 3, 4
[30] Xiaopeng Lu, Tiancheng Zhao, and Kyusong Lee. VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words. In Chengqing Zong, Fei Xia, Wenjie Li, and Roberto Navigli, editors, ACL, 2021. 1
[31] Nicola Messina, Giuseppe Amato, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, and Stéphane Marchand-Maillet. Fine-Grained Visual Textual Alignment for Cross-Modal Retrieval Using Transformer Encoders. ACM, 2021. 1
[32] Gaurav Mittal, Shubham Agrawal, Anuva Agarwal, Sushant Mehta, and Tanya Marwah. Interactive image generation using scene graphs. In ICLR, 2019. 3
[33] Vishvak Murahari, Dhruv Batra, Devi Parikh, and Abhishek Das. Large-Scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline. In Andrea Vedaldi, Horst Bischof, Thomas Brox, and Jan-Michael Frahm, editors, ECCV, volume 12363 of Lecture Notes in Computer Science, pages 336-352. Springer, 2020. 3, 4
[34] Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, and Abhishek Das. Improving generative visual dialog by answering diverse questions. EMNLP, 2019. 3, 6, 7, 9, 10
[35] Robert N Oddy. Information retrieval through man-machine dialogue. Journal of documentation, 33(1):1-14, 1977. 3
[36] OpenAI. ChatGPT. https://openai.com/blog/chatgpt, 2023.1,5
[37] OpenAI. GPT-4 Technical Report. CoRR, abs/2303.08774, 2023. 1
[38] Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, and Ryan Lowe. Training language models to follow instructions with human feedback. In NeurIPS, 2022. 1
[39] Vishal Pallagani and Biplav Srivastava. A generic dialog agent for information retrieval based on automated planning within a reinforcement learning platform. Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), 2021. 3
[40] Devi Parikh and Kristen Grauman. Relative attributes. In Dimitris N. Metaxas, Long Quan, Alberto Sanfeliu, and Luc Van Gool, editors, ICCV, 2011. 3
[41] Yash Patel, Giorgos Tolias, and Jiri Matas. Recall@k surrogate loss with large batches and similarity mixup. In CVPR, pages 7502-7511, 2022. 4
[42] Badri Patro, Vinod Kurmi, Sandeep Kumar, and Vinay Namboodiri. Deep bayesian network for visual question generation. In WACV, pages 1566-1576, 2020. 3
[43] Lorenzo Putzu, Luca Piras, and Giorgio Giacinto. Convolutional neural networks for relevance feedback in content based image retrieval: A content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback. Multimedia Tools and Applications, 79:26995-27021, 2020. 3
[44] Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. Learning Transferable Visual Models From Natural Language Supervision. In Marina Meila and Tong Zhang, editors, ICML, 2021. 3, 4
[45] Yong Rui, Thomas S. Huang, Michael Ortega, and Sharad Mehrotra. Relevance feedback: a power tool for interactive content-based image retrieval. IEEE Trans. Circuits Syst. Video Technol., 1998. 3