Lightweight salient object detection in optical remote-sensing images via semantic matching and edge alignment
Recently, relying on convolutional neural networks (CNNs), many methods for salient object detection in optical remote sensing images (ORSI-SOD) are proposed. However, most methods ignore the huge parameters and computational cost brought by CNNs, and only a few pay attention to the portability a...
Saved in:
Main Authors: | Li, Gongyang, Liu, Zhi, Zhang, Xinpeng, Lin, Weisi |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/172257 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Lightweight salient object detection in optical remote sensing images via feature correlation
by: Li, Gongyang, et al.
Published: (2022) -
Delving into salient object subitizing and detection
by: HE, Shengfeng, et al.
Published: (2017) -
Boundary-aware RGBD salient object detection with cross-modal feature sampling
by: NIU, Yuzhen, et al.
Published: (2020) -
Unifying global-local representations in salient object detection with transformers
by: REN, Sucheng, et al.
Published: (2024) -
Progressive self-guided loss for salient object detection
by: Yang, Sheng, et al.
Published: (2022)