Unsupervised Salient Object Detection by Aggregating Multi-Level Cues
In this paper, we present a novel method to detect salient object based on multi-level cues. First, a proposal processing scheme is developed by various object-level saliency cues to generate an initial saliency map. For the sake of more accurate object boundaries, a two-stage optimization mechanism...
Saved in:
| Main Authors: | Chenxing Xia, Hanling Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8534342/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cross-Modal Weakly Supervised RGB-D Salient Object Detection with a Focus on Filamentary Structures
by: Yifan Ding, et al.
Published: (2025-05-01) -
Boundary-Aware Cross-Level Multi-Scale Fusion Network for RGB-D Salient Object Detection
by: Zhijun Zheng, et al.
Published: (2025-01-01) -
Edge-guided feature fusion network for RGB-T salient object detection
by: Yuanlin Chen, et al.
Published: (2024-12-01) -
User Experiences of the Cue2walk Smart Cueing Device for Freezing of Gait in People with Parkinson’s Disease
by: Matthijs van der Laan, et al.
Published: (2025-07-01) -
Cueing Visual Attention to Spatial Locations With Auditory Cues
by: Matthew Kean, et al.
Published: (2008-12-01)