Neural Fashion Image Captioning : Accounting for Data Diversity

Image captioning: Transforming objects into words

Original

Herdade, S., A. Kappeler, K. Boakye, and J. Soares (2019) · 1906

Earlier work this paper cites.

Fashion meets computer vision: A survey

Original

Cheng, W.-H., S. Song, C.-Y. Chen, S. C. Hidayati, and J. Liu (2020) · 2003

Earlier work this paper cites.

Fashion captioning: Towards generating accurate descriptions with semantic rewards

Original

Yang, X., H. Zhang, D. Jin, Y. Liu, C.-H. Wu, J. Tan, D. Xie, J. Wang, and X. Wang (2020) · 2008

Earlier work this paper cites.

Imagenet: A large-scale hierarchical image database

Deng, J., W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei (2009) · 2009

Earlier work this paper cites.

The pascal visual object classes (voc) challenge

Everingham, M., L. Gool, C. K. Williams, J. Winn, and A. Zisserman (2009) · 2009

Earlier work this paper cites.

Scikit-learn: Machine learning in Python

Pedregosa, F., G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay (2011) · 2011

Earlier work this paper cites.

Describing clothing by semantic attributes

Chen, H., A. Gallagher, and B. Girod (2012) · 2012

Earlier work this paper cites.

Hipster wars: Discovering elements of fashion styles

Kiapour, M. H., K. Yamaguchi, A. C. Berg, and T. L. Berg (2014) · 2014

Earlier work this paper cites.

Deep domain adaptation for describing people based on fine-grained clothing attributes

Chen, Q., J. Huang, R. Feris, L. M. Brown, J. Dong, and S. Yan (2015, June) · 2015

Earlier work this paper cites.

Show and tell: A neural image caption generator

Vinyals, O., A. Toshev, S. Bengio, and D. Erhan (2015) · 2015

Cited alongside, same era.

Mix and match: Joint model for clothing and attribute recognition

Yamaguchi, K., T. Okatani, K. Sudo, K. Murasaki, and Y. Taniguchi (2015) · 2015

Cited alongside, same era.

Deep residual learning for image recognition

He, K., X. Zhang, S. Ren, and J. Sun (2016) · 2016

Cited alongside, same era.

Deepfashion: Powering robust clothes recognition and retrieval with rich annotations

Liu, Z., P. Luo, S. Qiu, X. Wang, and X. Tang (2016, 06) · 2016

Cited alongside, same era.

Fashion landmark detection in the wild

Liu, Z., S. Yan, P. Luo, X. Wang, and X. Tang (2016, 10) · 2016

Cited alongside, same era.

Part-based clothing image annotation by visual neighbor retrieval

Sun, G.-L., X. Wu, and Q. Peng (2016) · 2016

Cited alongside, same era.

Be your own prada: Fashion synthesis with structural coherence

Zhu, S., S. Fidler, R. Urtasun, D. Lin, and C. L. Chen (2017) · 2017

Later among the works it cites.

In pursuit of inclusive ai

Chou, J., R. Ibars, and O. Murillo (2018) · 2018

Later among the works it cites.

Fashion product classification through deep learning and computer vision

Donati, L., E. Iotti, G. Mordonini, and A. Prati (2019) · 2019

Later among the works it cites.

Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images

Ge, Y., R. Zhang, X. Wang, X. Tang, and P. Luo (2019) · 2019

Later among the works it cites.

Pytorch: An imperative style, high-performance deep learning library

Paszke, A., S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, A. Desmaison, A. Kopf, E. Yang, Z. DeVito, M. Raison, A. Tejani, S. Chilamkurthy, B. Steiner, L. Fang, J. Bai, and S. Chintala (2019) · 2019

Later among the works it cites.