A Deep Document Semantic Segmentation Network with Edge Supervision and Multi-Task Learning Mechanism
碩士 === 國立臺灣科技大學 === 電機工程系 === 107 === Semantic segmentation technology is a common issue in computer vision and deep learning fields. Differs from image classification and object detection tasks, semantic segmentation technology assigns a single category label to all pixels, thereby getting a better...
Main Authors: | Hao-Hsuan Lee, 李皓軒 |
---|---|
Other Authors: | Jing-Ming Guo |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/f5uh34 |
Similar Items
-
Weakly-Supervised Learning of a Deep Convolutional Neural Networks for Semantic Segmentation
by: Yanqing Feng, et al.
Published: (2019-01-01) -
Multi-Task Learning SegNet Architecture for Semantic Segmentation
by: Sorg, Bradley R.
Published: (2018) -
Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions
by: Xinying Xu, et al.
Published: (2019-01-01) -
Lidar–Camera Semi-Supervised Learning for Semantic Segmentation
by: Luca Caltagirone, et al.
Published: (2021-07-01) -
Semantic Image Segmentation and Web-Supervised Visual Learning
by: Schroff, Florian
Published: (2009)