Band 12352
Computer Vision – ECCV 2020 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VII
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- eBook
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Sprache:Englisch
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Auflage:1st ed. 2020
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st edition 2020 Fr. 137.00
- 1st ed. 2020 Fr. 72.90
- 1st ed. 2020 Fr. 137.00
- 1st ed. 2020 Fr. 137.00 ausgewählt
- 1st ed. 2020 Fr. 137.00
- 1st ed. 2020 Fr. 137.00
Fr. 137.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
09.11.2020
Herausgeber
Andrea Vedaldi + weitereVerlag
SpringerSeitenzahl
805
Maße (L/B/H)
23.5/15.5/4.6 cm
Gewicht
1258 g
Auflage
1st ed. 2020
Sprache
Englisch
ISBN
978-3-030-58570-9
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic.
The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
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