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Transformer-based Models for Enhanced Amur Tiger Re-Identif..:
, In:
2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)
,
Bai, Xufeng
;
Islam, Tasmina
;
Bin Azhar, M A Hannan
- p. 000411-000416 , 2024
Link:
https://doi.org/10.1109/SAMI60510.2024.10432893
RT T1 <cTitle>2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)</cTitle>: T1 <Title>Transformer-based Models for Enhanced Amur Tiger Re-Identification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10432893&Exemplar=1&LAN=DE A1 Bai, Xufeng A1 Islam, Tasmina A1 Bin Azhar, M A Hannan YR 2024 SN 2767-9438 K1 Wildlife K1 Habitats K1 Neural networks K1 Benchmark testing K1 Network architecture K1 Transformers K1 Task analysis K1 Amur tiger re-identification K1 transformer architectures K1 wildlife conservation K1 multi-granularity network K1 vision transformer K1 neighbor transformer SP 000411 OP 000416 LK http://dx.doi.org/https://doi.org/10.1109/SAMI60510.2024.10432893 DO https://doi.org/10.1109/SAMI60510.2024.10432893 SF ELIB - SuUB Bremen
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