Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification

Zhang, Shanshan; Chen, Di; Yang, Jian; Schiele, Bernt

doi:10.1007/s11263-021-01461-z

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Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification

Zhang, S., Chen, D., Yang, J., & Schiele, B. (2021). Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification. International Journal of Computer Vision, 129, 1875-1892. doi:10.1007/s11263-021-01461-z.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-859C-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2130-6

Genre: Journal Article

Latex : Guided Attention in {CNNs} for Occluded Pedestrian Detection and Re-identification

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Creators:
Zhang, Shanshan¹, Author
Chen, Di¹, Author
Yang, Jian¹, Author
Schiele, Bernt², Author

Affiliations:
1External Organizations, ou_persistent22
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547

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Dates: Published Online: 2021Date issued: 2021

Publication Status: Issued

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Identifiers: BibTex Citekey: Zhang2021
DOI: 10.1007/s11263-021-01461-z

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Title: International Journal of Computer Vision

Other : Int. J. Comput. Vis.

Source Genre: Journal

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Publ. Info: New York, NY : Springer

Pages: 18 p. Volume / Issue: 129 Sequence Number: - Start / End Page: 1875 - 1892 Identifier: ISSN: 0920-5691
CoNE: https://pure.mpg.de/cone/journals/resource/954925564668