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1 Ergebnisse
1
CODA-Prompt: COntinual Decomposed Attention-Based Prompting..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Smith, James Seale
;
Karlinsky, Leonid
;
Gutta, Vyshnavi
... - p. 11909-11919 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.01146
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10204890&Exemplar=1&LAN=DE A1 Smith, James Seale A1 Karlinsky, Leonid A1 Gutta, Vyshnavi A1 Cascante-Bonilla, Paola A1 Kim, Donghyun A1 Arbelle, Assaf A1 Panda, Rameswar A1 Feris, Rogerio A1 Kira, Zsolt YR 2023 SN 2575-7075 K1 Resistance K1 Computer vision K1 Semantics K1 Memory management K1 Training data K1 Benchmark testing K1 Transformers K1 Transfer K1 meta K1 low-shot K1 continual K1 or long-tail learning SP 11909 OP 11919 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.01146 DO https://doi.org/10.1109/CVPR52729.2023.01146 SF ELIB - SuUB Bremen
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