Deeper and Mixed Supervision for Salient Object Detection in Automated Surface Inspection
In recent years, researches in the field of salient object detection have been widely made in many industrial visual inspection tasks. Automated surface inspection (ASI) can be regarded as one of the most challenging tasks in computer vision because of its high cost of data acquisition, serious imba...
Main Authors: | Senbo Yan, Xiaowen Song, Guocong Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/3751053 |
Similar Items
-
Weakly supervised salient object detection via double object proposals guidance
by: Zhiheng Zhou, et al.
Published: (2021-07-01) -
Semi-Automated Salient Object Detection and Segmentationusing Deep Learning
by: Pei-Shan Yu, et al.
Published: (2018) -
On the Distribution of Salient Objects in Web Images and Its Influence on Salient Object Detection.
by: Boris Schauerte, et al.
Published: (2015-01-01) -
Salient Object Detection: Integrate Salient Features in the Deep Learning Framework
by: Qixin Chen, et al.
Published: (2019-01-01) -
Salient Object Detection With Importance Degree
by: Yo Umeki, et al.
Published: (2020-01-01)