Seite - 86 - in Joint Austrian Computer Vision and Robotics Workshop 2020
Bild der Seite - 86 -
Text der Seite - 86 -
[26] H. Touvron, A. Vedaldi, M. Douze, and H. Je´gou.
Fixing the train-test resolution discrepancy. ArXiv,
2019. 1
[27] S. Xie, R. B. Girshick, P. Dolla´r, Z. Tu, and K. He.
Aggregated residual transformations fordeepneural
networks. In IEEE Conference on Computer Vision
andPatternRecognition(CVPR), pages5987–5995,
2016. 2
[28] F.YuandV.Koltun. Multi-scalecontextaggregation
bydilatedconvolutions. ArXiv, 2016. 2
[29] X. Zhang, X. Zhou, M. Lin, and J. Sun. Shufflenet:
Anextremelyefficientconvolutionalneuralnetwork
for mobile devices. In IEEE Conference on Com-
puterVisionandPatternRecognition(CVPR),pages
6848–6856, 2018. 2
86
Joint Austrian Computer Vision and Robotics Workshop 2020
- Titel
- Joint Austrian Computer Vision and Robotics Workshop 2020
- Herausgeber
- Graz University of Technology
- Ort
- Graz
- Datum
- 2020
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-85125-752-6
- Abmessungen
- 21.0 x 29.7 cm
- Seiten
- 188
- Kategorien
- Informatik
- Technik