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} }
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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References
SHOWING 1-10 OF 20 REFERENCES
Embedding Label Structures for Fine-Grained Feature Representation
- Computer Science
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2016
- 135
- PDF
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
- Computer Science
- 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2015
- 481
- PDF
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop
- Computer Science
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2016
- 149
- PDF
Fine-grained visual categorization via multi-stage metric learning
- Computer Science
- 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2015
- 126
- PDF
Learning Fine-Grained Image Similarity with Deep Ranking
- Computer Science
- 2014 IEEE Conference on Computer Vision and Pattern Recognition
- 2014
- 843
- PDF
Deep feature learning with relative distance comparison for person re-identification
- Mathematics, Computer Science
- Pattern Recognit.
- 2015
- 495
- PDF
3D Object Representations for Fine-Grained Categorization
- Computer Science
- 2013 IEEE International Conference on Computer Vision Workshops
- 2013
- 982
- PDF
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels
- Computer Science
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2016
- 77
- PDF
An improved deep learning architecture for person re-identification
- Computer Science
- 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2015
- 990
- PDF