• DOI:10.1109/ICME.2017.8019371
Corpus ID: 407011

Incorporating intra-class variance to fine-grained visual recognition

@article{Em2017IncorporatingIV,
  title={Incorporating intra-class variance to fine-grained visual recognition},
  author={Yan Em and Feng Gao and Yihang Lou and Shiqi Wang and Tiejun Huang and Ling-yu Duan},
  journal={2017 IEEE International Conference on Multimedia and Expo (ICME)},
  year={2017},
  pages={1452-1457}
}

Yan Em, Feng Gao, +3 authors Ling-yu Duan

Published 2017

Computer Science

2017 IEEE International Conference on Multimedia and Expo (ICME)

Fine-grained visual recognition aims to capture discriminative characteristics amongst visually similar categories. The state-of-the-art research work has significantly improved the fine-grained recognition performance by deep metric learning using triplet network. However, the impact of intra-category variance on the performance of recognition and robust feature representation has not been well studied. In this paper, we propose to leverage intra-class variance in metric learning of triplet… CONTINUE READING

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