On-Device Unsupervised Image Segmentation

Along with the breakthrough of convolutional neural networks, in particular encoder-decoder and U-Net, learning-based segmentation has emerged in many research works. Most of them are based on supervised learning, requiring plenty of annotated data; however, to support segmentation, a label for each...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2023 60th ACM/IEEE Design Automation Conference (DAC) S. 1 - 6
Hauptverfasser:	Yang, Junhuan, Sheng, Yi, Zhang, Yuzhou, Jiang, Weiwen, Yang, Lei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 09.07.2023
Schlagworte:	Data privacy Design automation Encoding Hyperdimensional Computing Image color analysis Image segmentation On-device Learning Performance evaluation Supervised learning Unsupervised Segmentation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!