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1 Ergebnisse
1
RIFormer: Learning Rotation-Invariant Features Via Transfor..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Song, Chao
;
Mei, Shaohui
;
Ma, Mingyang
- p. 5399-5402 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10282204
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>RIFormer: Learning Rotation-Invariant Features Via Transformer</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10282204&Exemplar=1&LAN=DE A1 Song, Chao A1 Mei, Shaohui A1 Ma, Mingyang YR 2023 SN 2153-7003 K1 Representation learning K1 Computer vision K1 Computer architecture K1 Transformers K1 Sensors K1 Convolutional neural networks K1 Task analysis K1 Transformer K1 rotation-invariant K1 remote sensing K1 feature learning K1 position embedding SP 5399 OP 5402 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10282204 DO https://doi.org/10.1109/IGARSS52108.2023.10282204 SF ELIB - SuUB Bremen
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