Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Zhun Zhong"'
Publikováno v:
IEEE Transactions on Image Processing. 32:309-320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6b2bc9040cfb5d832ac4b424599bc95
https://doi.org/10.1109/tip.2022.3228163
https://doi.org/10.1109/tip.2022.3228163
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae0c206940c2119b506b52c10de72fe
https://doi.org/10.1109/tpami.2022.3233584
https://doi.org/10.1109/tpami.2022.3233584
Publikováno v:
IEEE Transactions on Image Processing. 32:2985-2999
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3deb94ee8d1fcaa667b6f2e26bcd6203
https://doi.org/10.1109/tip.2023.3277389
https://doi.org/10.1109/tip.2023.3277389
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::872a3361972a019dbd0477669c6f462f
https://doi.org/10.1109/tits.2023.3255923
https://doi.org/10.1109/tits.2023.3255923
Overfitting in adversarial training has attracted the interest of researchers in the community of artificial intelligence andmachine learningin recent years. To address this issue, in this paper we begin by evaluating the defense performances of seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56bee67bb30e2fb52ec5cfa0240ea2e1
https://zenodo.org/record/7858712
https://zenodo.org/record/7858712
Autor:
Fengxiang Yang, Juanjuan Weng, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Donglin Cao, Shaozi Li, Shin'ichi Satoh, Nicu Sebe
Recent studies show that deep person re-identification (re-ID) models are vulnerable to adversarial examples, so it is critical to improving the robustness of re-ID models against attacks. To achieve this goal, we explore the strengths and weaknesses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3366419b156b5cb6e082a64d2680b25
https://hdl.handle.net/11572/377289
https://hdl.handle.net/11572/377289
Publikováno v:
Applied Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b8af9d8a4d98af7d90eb83baa62e400
https://doi.org/10.1007/s10489-022-04364-9
https://doi.org/10.1007/s10489-022-04364-9
Publikováno v:
Neurocomputing. 464:27-36
Fine-Grained Visual Categorization (FGVC) is a challenging task due to the large intra-subcategory and small inter-subcategory variances. Recent studies tackle this task through a weakly supervised manner without using the part annotation from the ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75fb98f6543ae8e1d86bee07a43b264
https://doi.org/10.1016/j.neucom.2021.08.108
https://doi.org/10.1016/j.neucom.2021.08.108
Publikováno v:
Neurocomputing. 463:388-399
This study considers the problem of text-based person search, which aims to find the corresponding person of a given text description in an image gallery. Existing methods usually learn a similarity mapping of local parts between image and text, or e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a7989b2ef4d7d8be3900eaa0f28b42a
https://doi.org/10.1016/j.neucom.2021.08.058
https://doi.org/10.1016/j.neucom.2021.08.058
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo (ICME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0358900e845f532d59465d61823314a2
https://doi.org/10.1109/icme52920.2022.9859851
https://doi.org/10.1109/icme52920.2022.9859851