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C-CLIP: Contrastive Image-Text Encoders to Close the
  Descriptive-Commentative Gap

C-CLIP: Contrastive Image-Text Encoders to Close the Descriptive-Commentative Gap

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
6 September 2023
William Theisen
Walter J. Scheirer
    CLIPVLM
ArXiv (abs)PDFHTML

Papers citing "C-CLIP: Contrastive Image-Text Encoders to Close the Descriptive-Commentative Gap"

2 / 2 papers shown
More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegram
More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on TelegramInternational Conference on Web and Social Media (ICWSM), 2024
Elisabeth Steffen
359
4
0
11 Oct 2024
N-Modal Contrastive Losses with Applications to Social Media Data in
  Trimodal Space
N-Modal Contrastive Losses with Applications to Social Media Data in Trimodal Space
William Theisen
Walter J. Scheirer
255
1
0
18 Mar 2024
1
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