The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Resource Aware Person Re-identification Across Multiple Resolutions
Open accessAbstract
Not all people are equally easy to identify: color statistics might be enough for some cases while others might require careful reasoning about high- and low-level details. However, prevailing person re-identification(re-ID) methods use one-size-fits-all high-level embeddings from deep convolutional networks for all cases. This might limit their accuracy on difficult examples or makes them needlessly expensive for the easy ones. To remedy this, we present a new person re-ID model that combines effective embeddings built on multiple convolutional network layers, trained with deep-supervision. On traditional re-ID benchmarks, our method improves substantially over the previous state-of-the-art results on all five datasets that we evaluate on. We then propose two new formulations of the person re-ID problem under resource-constraints, and show how our model can be used to effectively trade off accuracy and computation in the presence of resource constraints.
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Cites
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ImageNet classification with deep convolutional neural networks
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Self-citationFully convolutional networks for semantic segmentation
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Self-citationFaceNet: A unified embedding for face recognition and clustering
Schroff, F., Kalenichenko, D., & Philbin, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298682 · Cited by 15,267
Scalable Person Re-identification: A Benchmark
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Distance Metric Learning for Large Margin Nearest Neighbor Classification
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Metadata
- Authors
- Wang, Y., Wang, L., You, Y., Zou, X., Chen, V., Li, S., Huang, G., Hariharan, B., & Weinberger, K. Q.
- Venue
- 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE
- Published
- 2018-06
- Pages
- 8042-8051
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2798794112
- Cited by
- 266
- References
- 67
- FWCI
- 13.23
- Type
- conference paper
- Language
- en
- Open access
- green
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- Wang, Y., Wang, L., You, Y., Zou, X., Chen, V., Li, S., Huang, G., Hariharan, B., & Weinberger, K. Q. (2018). Resource Aware Person Re-identification Across Multiple Resolutions. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2018.00839
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