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With a growing demand for the search by image, many works have studied the task of fashion instance-level image retrieval (FIR).
Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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Articulated pose estimation with flexible mixtures-of-parts
Yi Yang and Deva Ramanan · 2011
Earlier work this paper cites.
Whittlesearch: Image search with relative attribute feedback
Adriana Kovashka, Devi Parikh, and Kristen Grauman · 2012
Earlier work this paper cites.
Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set
Si Liu, Zheng Song, Guangcan Liu, Changsheng Xu, Hanqing Lu, and Shuicheng Yan · 2012
Earlier work this paper cites.
Style finder: Fine-grained clothing style detection and retrieval
Wei Di, Catherine Wah, Anurag Bhardwaj, Robinson Piramuthu, and Neel Sundaresan · 2013
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Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos
Yannis Kalantidis, Lyndon Kennedy, and Li-Jia Li · 2013
Earlier work this paper cites.
Attribute pivots for guiding relevance feedback in image search
Adriana Kovashka and Kristen Grauman · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Hipster wars: Discovering elements of fashion styles
M Hadi Kiapour, Kota Yamaguchi, Alexander C Berg, and Tamara L Berg · 2014
Earlier work this paper cites.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
Earlier work this paper cites.
Aggregating deep convolutional features for image retrieval
Artem Babenko and Victor Lempitsky · 2015
Earlier work this paper cites.
Where to buy it: Matching street clothing photos in online shops
M Hadi Kiapour, Xufeng Han, Svetlana Lazebnik, Alexander C Berg, and Tamara L Berg · 2015
Earlier work this paper cites.
Cross-domain image retrieval with a dual attribute-aware ranking network
Junshi Huang, Rogerio S Feris, Qiang Chen, and Shuicheng Yan · 2015
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Cited alongside, same era.
Mix and match: Joint model for clothing and attribute recognition
Kota Yamaguchi, Takayuki Okatani, Kyoko Sudo, Kazuhiko Murasaki, and Yukinobu Taniguchi · 2015
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang · 2016
Cited alongside, same era.
Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
Cited alongside, same era.
End-to-end localization and ranking for relative attributes
Krishna Kumar Singh and Yong Jae Lee · 2016
Confidence and diversity for active selection of feedback in image retrieval
Bhavin Modi and Adriana Kovashka · 2017
Later among the works it cites.
Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A Alemi · 2017
Later among the works it cites.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
Later among the works it cites.
Memory-augmented attribute manipulation networks for interactive fashion search
Bo Zhao, Jiashi Feng, Xiao Wu, and Shuicheng Yan · 2017
Later among the works it cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Later among the works it cites.
Efficient multi-attribute similarity learning towards attribute-based fashion search
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Cited alongside, same era.
Improved deep metric learning with multi-class n-pair loss objective
Kihyuk Sohn · 2016
Cited alongside, same era.
Began: Boundary equilibrium generative adversarial networks
David Berthelot, Thomas Schumm, and Luke Metz · 2017
Cited alongside, same era.
Leveraging weakly annotated data for fashion image retrieval and label prediction
Charles Corbiere, Hedi Ben-Younes, Alexandre Ramé, and Charles Ollion · 2017
Cited alongside, same era.
End-to-end learning of deep visual representations for image retrieval
Albert Gordo, Jon Almazan, Jerome Revaud, and Diane Larlus · 2017
Cited alongside, same era.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Cited alongside, same era.
Learning to discover cross-domain relations with generative adversarial networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, and Jiwon Kim · 2017
Cited alongside, same era.
Kenan E Ak, Joo Hwee Lim, Jo Yew Tham, and Ashraf A Kassim · 2018
Later among the works it cites.
Cross-domain fashion image retrieval
Bojana Gajic and Ramon Baldrich · 2018
Later among the works it cites.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Later among the works it cites.
Learning type-aware embeddings for fashion compatibility
Mariya I Vasileva, Bryan A Plummer, Krishna Dusad, Shreya Rajpal, Ranjitha Kumar, and David Forsyth · 2018
Later among the works it cites.
Hard-aware point-to-set deep metric for person re-identification
Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, and Xiang Bai · 2018
Later among the works it cites.
Combination of multiple global descriptors for image retrieval
HeeJae Jun, ByungSoo Ko, Youngjoon Kim, Insik Kim, and Jongtack Kim · 2019
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Give me a hint! navigating image databases using human-in-the-loop feedback
Bryan Plummer, Hadi Kiapour, Shuai Zheng, and Robinson Piramuthu · 2019
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