[1] Kenan E. Ak, Ashraf A. Kassim, Joo-Hwee Lim, and Jo Yew Tham. Learning attribute representations with localization for flexible fashion search. In 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, pages 7708-7717. Computer Vision Foundation / IEEE Computer Society, 2018.
[2] Francesco Barbato, Marco Toldo, Umberto Michieli, and Pietro Zanuttigh. Latent space regularization for unsupervised domain adaptation in semantic segmentation. In CVPR, pages 2835-2845. Computer Vision Foundation / IEEE, 2021.
[3] Sean Bell and Kavita Bala. Learning visual similarity for product design with convolutional neural networks. ACM Trans. Graph., 34(4):98:1-98:10, 2015.
[4] Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, and Ismail Ben Ayed. A unifying mutual information view of metric learning: Cross-entropy vs. pairwise losses. In Andreae Vedaldi, Horst Bischof, Thomas Brox, and Jan-Michael Frahm, editors, ECCV, volume 12351 of Lecture Notes in Computer Science, pages 548–564. Springer, 2020.
[5] Steve Branson, Grant Van Horn, Serge J. Belongie, and Pietro Perona. Bird species categorization using pose normalized deep convolutional nets. CoRR, abs/1406.2952, 2014.
[6] Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, and Ahmed M. Elgammal. Link the head to the "beak": Zero shot learning from noisy text description at part precision. In 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, pages 6288-6297. IEEE Computer Society, 2017.
[7] Vittorio Ferrari and Andrew Zisserman. Learning visual attributes. In John C. Platt, Daphne Koller, Yoram Singer, and Sam T. Roweis, editors, Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, pages 433-440. Curran Associates, Inc., 2007.
[8] Kaiming He, Georgia Gkioxari, Piotr Dólar, and Ross B. Girshick. Mask R-CNN. In IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017, pages 2980-2988. IEEE Computer Society, 2017.
[9] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual learning for image recognition. In CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016, pages 770-778, 2016.
[10] Junshi Huang, Rogério Schmidt Feris, Qiang Chen, and Shuicheng Yan. Cross-domain image retrieval with a dual attribute-aware ranking network. In 2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015, pages 1062-1070. IEEE Computer Society, 2015.
[11] Dat Huynh and Ehsan Elhamifar. Fine-grained generalized zero-shot learning via dense attribute-based attention. In CVPR, pages 4482-4492. Computer Vision Foundation / IEEE, 2020.
[12] Dor Kedem, Stephen Tyree, Kilian Q. Weinberger, Fei Sha, and Gert R. G. Lanckriet. Non-linear metric learning. In Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou, and Kilian Q. Weinberger, editors, NeurIPS, pages 2582-2590, 2012.
[13] Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak. Proxy anchor loss for deep metric learning. In CVPR, pages 3235-3244. Computer Vision Foundation / IEEE, 2020.
[14] Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak. Embedding transfer with label relaxation for improved metric learning. In CVPR, pages 3967-3976. Computer Vision Foundation / IEEE, 2021.
[15] ByungSoo Ko, Geonmo Gu, Han-Gyu Kim, and ByungSoo Ko. Learning with memory-based virtual classes for deep metric learning. In ICCV, pages 11772-11781. IEEE, 2021.
[16] Jonathan Krause, Michael Stark, Jia Deng, and Li Fei-Fei. 3d object representations for fine-grained categorization. In ICCV Workshops 2013, Sydney, Australia, December 1-8, 2013, pages 554-561, 2013.