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In Composed Image Retrieval (CIR), a user combines a query image with text to describe their intended target.
Image retrieval: Ideas, influences, and trends of the new age
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Imagenet: A large-scale hierarchical image database
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Microsoft coco: Common objects in context
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Improved deep metric learning with multi-class n-pair loss objective
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Deep sketch hashing: Fast free-hand sketch-based image retrieval
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
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Uniter: Learning universal image-text representations
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Decoupled weight decay regularization
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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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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Composing text and image for image retrieval-an empirical odyssey
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, and James Hays · 2019
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Learning joint visual semantic matching embeddings for language-guided retrieval
Yanbei Chen and Loris Bazzani · 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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Modality-agnostic attention fusion for visual search with text feedback
Eric Dodds, Jack Culpepper, Simao Herdade, Yang Zhang, and Kofi Boakye · 2020
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Composed query image retrieval using locally bounded features
Mehrdad Hosseinzadeh and Yang Wang · 2020
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Oscar: Object-semantics aligned pre-training for vision-language tasks
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, et al · 2020
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The many faces of robustness: A critical analysis of out-of-distribution generalization
Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, et al · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, et al · 2022
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Effective conditioned and composed image retrieval combining clip-based features
Alberto Baldrati, Marco Bertini, Tiberio Uricchio, and Alberto Del Bimbo · 2022
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” this is my unicorn, fluffy”: Personalizing frozen vision-language representations
Niv Cohen, Rinon Gal, Eli A Meirom, Gal Chechik, and Yuval Atzmon · 2022
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Artemis: Attention-based retrieval with text-explicit matching and implicit similarity
Ginger Delmas, Rafael Sampaio de Rezende, Gabriela Csurka, and Diane Larlus · 2022
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An image is worth one word: Personalizing text-to-image generation using textual inversion
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Cosmo: Content-style modulation for image retrieval with text feedback
Seungmin Lee, Dongwan Kim, and Bohyung Han · 2021
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The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant · 2021
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Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, and Steven Chu Hong Hoi · 2021
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Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig · 2021
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Image retrieval on real-life images with pre-trained vision-and-language models
Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney, and Stephen Gould · 2021
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Clipcap: Clip prefix for image captioning
Ron Mokady, Amir Hertz, and Amit H Bermano · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or · 2022
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Fashionvlp: Vision language transformer for fashion retrieval with feedback
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Fashionvil: Fashion-focused vision-and-language representation learning
Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, and Tao Xiang · 2022
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
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Probabilistic compositional embeddings for multimodal image retrieval
Andrei Neculai, Yanbei Chen, and Zeynep Akata · 2022
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2022
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Clip models are few-shot learners: Empirical studies on vqa and visual entailment
Haoyu Song, Li Dong, Wei-Nan Zhang, Ting Liu, and Furu Wei · 2022
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Vlmixer: Unpaired vision-language pre-training via cross-modal cutmix
Teng Wang, Wenhao Jiang, Zhichao Lu, Feng Zheng, Ran Cheng, Chengguo Yin, and Ping Luo · 2022
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Coca: Contrastive captioners are image-text foundation models
Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, and Yonghui Wu · 2022
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Conditional prompt learning for vision-language models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu · 2022
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