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Chats emerge as an effective user-friendly approach for information retrieval, and are successfully employed in many domains, such as customer service, healthcare, and finance.
Information retrieval through man-machine dialogue
Robert N Oddy · 1977
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Relevance feedback: a power tool for interactive content-based image retrieval
Yong Rui, Thomas S. Huang, Michael Ortega, and Sharad Mehrotra · 1998
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Relative attributes
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WhittleSearch: Image search with relative attribute feedback
Adriana Kovashka, Devi Parikh, and Kristen Grauman · 2012
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Attribute Pivots for Guiding Relevance Feedback in Image Search
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Microsoft COCO: Common Objects in Context
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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
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VQA: Visual Question Answering
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Visual Dialog
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Learning cooperative visual dialog agents with deep reinforcement learning
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Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
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Dialog-based Interactive Image Retrieval
Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, and Rogério Schmidt Feris · 2018
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Visual question generation as dual task of visual question answering
Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, and Ming Zhou · 2018
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An information retrieval-based approach for building intuitive chatbots for large knowledge bases
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ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee · 2019
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Interactive image generation using scene graphs
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Improving generative visual dialog by answering diverse questions
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Composing Text and Image for Image Retrieval - an Empirical Odyssey
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Learning Fragment Self-Attention Embeddings for Image-Text Matching
Yiling Wu, Shuhui Wang, Guoli Song, and Qingming Huang · 2019
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Language Models are Few-Shot Learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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Image Search With Text Feedback by Visiolinguistic Attention Learning
Yanbei Chen, Shaogang Gong, and Loris Bazzani · 2020
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UNITER: UNiversal Image-TExt Representation Learning
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu · 2020
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Oscar: Object-semantics aligned pre-training for vision-language tasks
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Large-Scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
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Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
Duo Zheng, Zipeng Xu, Fandong Meng, Xiaojie Wang, Jiaan Wang, and Jie Zhou · 2021
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Effective conditioned and composed image retrieval combining CLIP-based features
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Scaling Instruction-Finetuned Language Models
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FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback
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Classification-Regression for Chart comprehension
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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
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