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Visual Domain Adaptation In The Deep Learning Era
Visual Domain Adaptation In The Deep Learning Era
language: english
Publisher:
Springer International Publishing AG, April of 2022 ‧
see product details
SYNOPSIS
Transfer learning (TL), and in particular domain adaptation (DA), has emerged as an effective solution to overcome the burden of annotation, exploiting the unlabeled data available from the target domain together with labeled data or pre-trained models from similar, yet different source domains.
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| Property | Description |
|---|---|
| ISBN: | 9783031791703 |
| Publisher: | Springer International Publishing AG |
| Release Date: | April of 2022 |
| Language: | English |
| Dimensions: | 191 x 235 x 20 mm |
| Cover: | Softcover |
| Pages: | 168 |
| Format: | Book |
| Collection: | Synthesis Lectures On Computer Vision |
| Categories: |
Books in English
>
Computing
>
Other Applications
Books in English > Others |
| EAN: | 9783031791703 |
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