Deep learning for industrial applications
<p>Improvement of industrial quality control processes is paramount to support the ever-growing world population. A key part of this process has traditionally relied on classical vision techniques. With the recent success of deep learning in many areas of vision, it is envisioned that its appl...
Autor Principal: | Data, GWP |
---|---|
Outros autores: | Prisacariu, V |
Formato: | Thesis |
Idioma: | English |
Publicado: |
2023
|
Títulos similares
-
Cos R-CNN for online few-shot object detection
por: Data, GWP, et al.
Publicado: (2023) -
Few-shot semantic segmentation with self-supervision from pseudo-classes
por: Li, Y, et al.
Publicado: (2021) -
Few-shot semantic segmentation with self-supervision from pseudo-classes
por: Li, Y, et al.
Publicado: (2021) -
Deep learning algorithms and applications
por: Santoso, Yosua Nathanael
Publicado: (2018) -
Deep learning with application to hashing
por: Zhang, Boshen
Publicado: (2014)