FLIPDIAL: A generative model for two-way visual dialogue
We present FLIPDIAL, a generative model for Visual Dialogue that simultaneously plays the role of both participants in a visually-grounded dialogue. Given context in the form of an image and an associated caption summarising the contents of the image, FLIPDIAL learns both to answer questions and put...
| Main Authors: | , , , |
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2018
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| _version_ | 1797078606800748544 |
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| author | Massiceti, D Narayanaswamy, S Torr, P Dokania, P |
| author_facet | Massiceti, D Narayanaswamy, S Torr, P Dokania, P |
| author_sort | Massiceti, D |
| collection | OXFORD |
| description | We present FLIPDIAL, a generative model for Visual Dialogue that simultaneously plays the role of both participants in a visually-grounded dialogue. Given context in the form of an image and an associated caption summarising the contents of the image, FLIPDIAL learns both to answer questions and put forward questions, capable of generating entire sequences of dialogue (question-answer pairs) which are diverse and relevant to the image. To do this, FLIPDIAL relies on a simple but surprisingly powerful idea: it uses convolutional neural networks (CNNs) to encode entire dialogues directly, implicitly capturing dialogue context, and conditional VAEs to learn the generative model, FLIPDIAL outperforms the state-of-the-art model in the sequential answering task (1VD) on the VisDial dataset by 5 points in Mean Rank using the generated answers. We are the first to extend this paradigm to full two-way visual dialogue (2VD), where our model is capable of generating both questions and answers in sequence based on a visual input, for which we propose a set of novel evaluation measures and metrics. |
| first_indexed | 2024-03-07T00:34:16Z |
| format | Conference item |
| id | oxford-uuid:80d95fa0-863d-411e-a09e-309ac82bbde5 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T00:34:16Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | oxford-uuid:80d95fa0-863d-411e-a09e-309ac82bbde52022-03-26T21:26:12ZFLIPDIAL: A generative model for two-way visual dialogueConference itemhttp://purl.org/coar/resource_type/c_5794uuid:80d95fa0-863d-411e-a09e-309ac82bbde5Symplectic Elements at OxfordInstitute of Electrical and Electronics Engineers2018Massiceti, DNarayanaswamy, STorr, PDokania, PWe present FLIPDIAL, a generative model for Visual Dialogue that simultaneously plays the role of both participants in a visually-grounded dialogue. Given context in the form of an image and an associated caption summarising the contents of the image, FLIPDIAL learns both to answer questions and put forward questions, capable of generating entire sequences of dialogue (question-answer pairs) which are diverse and relevant to the image. To do this, FLIPDIAL relies on a simple but surprisingly powerful idea: it uses convolutional neural networks (CNNs) to encode entire dialogues directly, implicitly capturing dialogue context, and conditional VAEs to learn the generative model, FLIPDIAL outperforms the state-of-the-art model in the sequential answering task (1VD) on the VisDial dataset by 5 points in Mean Rank using the generated answers. We are the first to extend this paradigm to full two-way visual dialogue (2VD), where our model is capable of generating both questions and answers in sequence based on a visual input, for which we propose a set of novel evaluation measures and metrics. |
| spellingShingle | Massiceti, D Narayanaswamy, S Torr, P Dokania, P FLIPDIAL: A generative model for two-way visual dialogue |
| title | FLIPDIAL: A generative model for two-way visual dialogue |
| title_full | FLIPDIAL: A generative model for two-way visual dialogue |
| title_fullStr | FLIPDIAL: A generative model for two-way visual dialogue |
| title_full_unstemmed | FLIPDIAL: A generative model for two-way visual dialogue |
| title_short | FLIPDIAL: A generative model for two-way visual dialogue |
| title_sort | flipdial a generative model for two way visual dialogue |
| work_keys_str_mv | AT massicetid flipdialagenerativemodelfortwowayvisualdialogue AT narayanaswamys flipdialagenerativemodelfortwowayvisualdialogue AT torrp flipdialagenerativemodelfortwowayvisualdialogue AT dokaniap flipdialagenerativemodelfortwowayvisualdialogue |