[48] Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, and Tomas Pfister. Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval, Feb. 2023. arXiv:2302.03084 [cs]. 3
[49] Madeline Chantry Schiappa, Michael Cogswell, Ajay Divakaran, and Yogesh Singh Rawat. Probing conceptual understanding of large visual-language models, 2023. 3
[50] Meet Shah, Xinlei Chen, Marcus Rohrbach, and Devi Parikh. Cycle-Consistency for Robust Visual Question Answering. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 6642–6651, Long Beach, CA, USA, June 2019. IEEE. 3
[51] Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, and Douwe Kiela. FLAVA: A Foundational Language And Vision Alignment Model, Mar. 2022. arXiv:2112.04482 [cs]. 2, 3, 4, 5, 6, 7, 8, 10
[52] Hao Tan and Mohit Bansal. LXMERT: Learning Cross-Modality Encoder Representations from Transformers, Dec. 2019. arXiv:1908.07490 [cs]. 2, 5, 10
[53] Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, and Kate Saenko. Language-guided audio-visual source separation via trimodal consistency, 2023. 3
[54] Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, and Candace Ross. Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality, Apr. 2022. arXiv:2204.03162 [cs]. 1, 2, 3, 8
[55] Ben Usman, Dina Bashkirova, and Kate Saenko. Disentangled Unsupervised Image Translation via Restricted Information Flow, Nov. 2021. arXiv:2111.13279 [cs]. 3
[56] Catherine Wah, Steve Branson, Peter Welinder, Pietro Perona, and Serge Belongie. The Caltech-UCSD Birds-200-2011 Dataset, July 2011. Issue: 2010-001 Num Pages: 8 Number: 2010-001 Place: Pasadena, CA Publisher: California Institute of Technology. 3
[57] Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumont, Clement Delangue, Anthony Moi, Pierrick Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. Transformers: State-of-the-Art Natural Language Processing. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 38-45, Online, Oct. 2020. Association for Computational Linguistics. 6
[58] Yongqin Xian, Christoph H. Lampert, Bernt Schiele, and Zeynep Akata. Zero-Shot Learning – A Comprehensive Evaluation of the Good, the Bad and the Ugly, Sept. 2020. arXiv:1707.00600 [cs]. 3
[59] Aron Yu and Kristen Grauman. Fine-Grained Visual Comparisons with Local Learning. In 2014 IEEE Conference on Computer Vision and Pattern Recognition, pages 192–199, Columbus, OH, USA, June 2014. IEEE, 3
[60] Mert Yuksekgonul, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, and James Zou. When and why vision-language models behave like bags-of-words, and what to do about it?, Oct. 2022. arXiv:2210.01936 [cs]. 3
[61] Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, and Jianfeng Gao. GLIPv2: Unifying Localization and Vision-Language Understanding, Oct. 2022. arXiv:2206.05836 [cs]. 3
[62] Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, and Jianfeng Gao. Vinvl: Revisiting visual representations in vision-language models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 5579-5588, June 2021. 2
[63] Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu. Learning to Prompt for Vision-Language Models. International Journal of Computer Vision, 130(9):2337-2348, Sept. 2022. arXiv:2109.01134 [cs]. 3, 5