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Composed Image Retrieval (CIR) aims to retrieve a target image based on a reference image and conditioning text, enabling controllable image searches.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh · 2017
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Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Piyush Sharma, Nan Ding, Sebastian Goodman, and Radu Soricut · 2018
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A corpus for reasoning about natural language grounded in photographs
Alane Suhr, Stephanie Zhou, Ally Zhang, Iris Zhang, Huajun Bai, and Yoav Artzi · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 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
Earlier work this paper cites.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 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, et al · 2020
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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A metric learning reality check
Kevin Musgrave, Serge Belongie, and Ser-Nam Lim · 2020
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Frozen in time: A joint video and image encoder for end-to-end retrieval
Max Bain, Arsha Nagrani, Gül Varol, and Andrew Zisserman · 2021
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Openclip, 2021
Gabriel Ilharco, Mitchell Wortsman, Ross Wightman, Cade Gordon, Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, Hongseok Namkoong, John Miller, Hannaneh Hajishirzi, Ali Farhadi, and Ludwig Schmidt · 2021
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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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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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Learning to predict visual attributes in the wild
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, and Abhinav Shrivastava · 2021
Earlier work this paper cites.
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
Cited alongside, same era.
Fashion iq: A new dataset towards retrieving images by natural language feedback
Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, and Rogerio Feris · 2021
Cited alongside, same era.
Eccv caption: Correcting false negatives by collecting machine-and-human-verified image-caption associations for ms-coco
Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, and Seong Joon Oh · 2022
Cited alongside, same era.
“this is my unicorn, fluffy”: Personalizing frozen vision-language representations
Niv Cohen, Rinon Gal, Eli A Meirom, Gal Chechik, and Yuval Atzmon · 2022
Cited alongside, same era.
Artemis: Attention-based retrieval with text-explicit matching and implicit similarity
Ginger Delmas, Rafael S Rezende, Gabriela Csurka, and Diane Larlus · 2022
Cited alongside, same era.
Genecis: A benchmark for general conditional image similarity
Sagar Vaze, Nicolas Carion, and Ishan Misra · 2023
Later among the works it cites.
Fashionern: Enhance-and-refine network for composed fashion image retrieval
Yanzhe Chen, Huasong Zhong, Xiangteng He, Yuxin Peng, Jiahuan Zhou, and Lele Cheng · 2024
Closest in time.
Image2sentence based asymmetrical zero-shot composed image retrieval
Yongchao Du, Min Wang, Wengang Zhou, Shuping Hui, and Houqiang Li · 2024
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Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024
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Language-only efficient training of zero-shot composed image retrieval
Geonmo Gu, Sanghyuk Chun, Wonjae Kim, , Yoohoon Kang, and Sangdoo Yun · 2024
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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
Cited alongside, same era.
Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning
Victor Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, and James Y Zou · 2022
Cited alongside, same era.
Zero-shot composed image retrieval with textual inversion
Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, and Alberto Del Bimbo · 2023
Cited alongside, same era.
Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023
Cited alongside, same era.
Pretrain like you inference: Masked tuning improves zero-shot composed image retrieval
Junyang Chen and Hanjiang Lai · 2023
Cited alongside, same era.
Compodiff: Versatile composed image retrieval with latent diffusion
Geonmo Gu, Sanghyuk Chun, HeeJae Jun, Yoohoon Kang, Wonjae Kim, and Sangdoo Yun · 2023
Cited alongside, same era.
Vision-by-language for training-free compositional image retrieval
Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, and Zeynep Akata · 2023
Cited alongside, same era.
Spherical linear interpolation and text-anchoring for zero-shot composed image retrieval
Young Kyun Jang, Dat Huynh, Ashish Shah, Wen-Kai Chen, and Ser-Nam Lim · 2024
Closest in time.
Data roaming and quality assessment for composed image retrieval
Matan Levy, Rami Ben-Ari, Nir Darshan, and Dani Lischinski · 2024
Closest in time.
Fine-grained textual inversion network for zero-shot composed image retrieval
Haoqiang Lin, Haokun Wen, Xuemeng Song, Meng Liu, Yupeng Hu, and Liqiang Nie · 2024
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Preserving multi-modal capabilities of pre-trained vlms for improving vision-linguistic compositionality
Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon, and Junmo Kim · 2024
Closest in time.
Knowledge-enhanced dual-stream zero-shot composed image retrieval
Yucheng Suo, Fan Ma, Linchao Zhu, and Yi Yang · 2024
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Context-i2w: Mapping images to context-dependent words for accurate zero-shot composed image retrieval
Yuanmin Tang, Jing Yu, Keke Gai, Jiamin Zhuang, Gang Xiong, Yue Hu, and Qi Wu · 2024
Closest in time.
CoVR: Learning composed video retrieval from web video captions
Lucas Ventura, Antoine Yang, Cordelia Schmid, and Gül Varol · 2024
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Ldre: Llm-based divergent reasoning and ensemble for zero-shot composed image retrieval
Zhenyu Yang, Dizhan Xue, Shengsheng Qian, Weiming Dong, and Changsheng Xu · 2024
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Magiclens: Self-supervised image retrieval with open-ended instructions
Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, and Ming-Wei Chang · 2024
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