A Review of Recent Advances in Image Co-Segmentation Techniques
Recent advances in the corporate processing of images have exhibited its advantages over the individual processing. Image co-segmentation aims to segment shared objects from two or more relevant images, and is becoming more and more interesting for computer vision researchers. Many applications need...
Main Authors: | Haiping Xu, Geng Lin, Meiqing Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8933459/ |
Similar Items
-
Students’ foregrounds: Hope, despair, uncertainty
by: Ole Skovsmose
Published: (2012-08-01) -
Foreground Segmentation-Based Density Grading Networks for Crowd Counting
by: Zelong Liu, et al.
Published: (2023-09-01) -
Weakly Supervised Foreground Segmentation Based on Superpixel Grouping
by: Wangsheng Yu, et al.
Published: (2018-01-01) -
Grammatical deviation in President Jokowi’s speech to the APEC CEO summit
by: R. Agus Budiharto
Published: (2018-03-01) -
Image Convolution to Obtain Color ROI after Segmentation Process with Fuzzy Cmeans
by: Khoerul Anwar
Published: (2023-03-01)