Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mustafa Shukor"'
Publikováno v:
Environmental Sciences Proceedings, Vol 29, Iss 1, p 50 (2023)
Parameter Efficient Fine-Tuning (PEFT) techniques have recently experienced significant growth and have been extensively employed to adapt large vision and language models to various domains, enabling satisfactory model performance with minimal compu
Externí odkaz:
https://doaj.org/article/6f12728a29844a04a23db079615a460e
Publikováno v:
Signal, Image and Video Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c49f97be05fc7a0b8991b5cd2915c534
https://doi.org/10.1007/s11760-023-02520-3
https://doi.org/10.1007/s11760-023-02520-3
Cross-modal image-recipe retrieval has gained significant attention in recent years. Most work focuses on improving cross-modal embeddings using unimodal encoders, that allow for efficient retrieval in large-scale databases, leaving aside cross-atten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbb3adbce09c8731545cced54fde49b4
Autor:
Pierre Gutierrez, Mona Schappert, Antoine Cordier, Maria Luschkova, Mustafa Shukor, Tim Dahmen
Publikováno v:
Fifteenth International Conference on Quality Control by Artificial Vision.
Deep learning is now the gold standard in computer vision-based quality inspection systems. In order to detect defects, supervised learning is often utilized, but necessitates a large amount of annotated images, which can be costly: collecting, clean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98cb35afa2c056932e216e52a6a28058
https://doi.org/10.1117/12.2586824
https://doi.org/10.1117/12.2586824