Supplementary of Multi-scale Deep Learning Architectures for Person Re-identification

@inproceedings{Qian2017SupplementaryOM,
  title={Supplementary of Multi-scale Deep Learning Architectures for Person Re-identification},
  author={Xuelin Qian and Yanwei Fu and Yu-Gang Jiang and Tao Xiang and Xiangyang Xue},
  year={2017}
}
Multi-scale-A layer (Fig. 1), analyses the data stream with the size 1 × 1, 3 × 3 and 5 × 5 of receptive field. Furthermore, in order to increase both depth and width of this layer, we split the filter size of 5 × 5 into two 3 × 3 streams cascaded (i.e. stream-4 and stream-3 in Tab 1 and Fig. 1). The weights of each stream are also tied with the corresponding stream in another branch. Such a design art is, in general, inspired by, and yet different from the inception architectures [11, 12, 10… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 13 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 18 references

An enhanced deep feature representation for person re-identification

2016 IEEE Winter Conference on Applications of Computer Vision (WACV) • 2016
View 1 Excerpt

Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 2 Excerpts

Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 2 Excerpts

Rethinking the Inception Architecture for Computer Vision

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2016
View 2 Excerpts

An improved deep learning architecture for person re-identification

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015
View 1 Excerpt

Going deeper with convolutions

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015
View 1 Excerpt

Person re-identification by Local Maximal Occurrence representation and metric learning

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015
View 1 Excerpt

Similar Papers

Loading similar papers…