Cross refinement network with edge detection for salient object detection
Abstract Salient object detection aims to identify the most attractive objects from images. However, their boundaries are typically of poor quality when predicted using available methods. One or multiple objects may also be left undetected if the image contains multiple objects. To solve these probl...
Saved in:
Main Authors: | Junjiang Xiang, Xiao Hu, Jiayu Ding, Xiangyue Tan, Jiaxin Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-09-01
|
Series: | IET Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/sil2.12041 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Refined feature enhancement network for object detection
by: Zonghui Li, et al.
Published: (2024-11-01) -
RGB-D salient object detection based on BC2 FNet network
by: WANG Feng, et al.
Published: (2024-12-01) -
Edge detection of aerial images using artificial bee colony algorithm
by: Nurdan Akhan Baykan, et al.
Published: (2022-06-01) -
Railway Foreign Object Intrusion Detection Using UAV Images and YOLO-UAT
by: Yang Yang, et al.
Published: (2025-01-01) -
LEAF-YOLO: Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery
by: Van Quang Nghiem, et al.
Published: (2025-03-01)