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1 Ergebnisse
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To miss-attend is to misalign! Residual Self-Attentive Feat..:
, In:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Khindkar, Vaishnavi
;
Arora, Chetan
;
Balasubramanian, Vineeth N
... - p. 376-386 , 2022
Link:
https://doi.org/10.1109/WACV51458.2022.00045
RT T1 <cTitle>2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9706705&Exemplar=1&LAN=DE A1 Khindkar, Vaishnavi A1 Arora, Chetan A1 Balasubramanian, Vineeth N A1 Subramanian, Anbumani A1 Saluja, Rohit A1 Jawahar, C. V. YR 2022 SN 2642-9381 K1 Visualization K1 Computer vision K1 Pipelines K1 Object detection K1 Detectors K1 Benchmark testing K1 Feature extraction K1 Transfer K1 Few-shot K1 Semi- and Un- supervised Learning Deep Learning K1 Deep Learning -> K1 Adversarial Learning K1 Adversarial Attack and Defense Methods K1 Object Detection/Recognition/Categorization K1 Vision Systems and Applications SP 376 OP 386 LK http://dx.doi.org/https://doi.org/10.1109/WACV51458.2022.00045 DO https://doi.org/10.1109/WACV51458.2022.00045 SF ELIB - SuUB Bremen
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