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Progressive Guided Fusion Network with Multi-modal and Multi-scale Attention for RGB-D Salient Object Detection
2021
IEEE Access
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In this article, to mitigate such issues and highlight the salient objects, we propose a progressive guided fusion network (PGFNet) with multi-modal and multi-scale attention for RGB-D salient object detection ...
INDEX TERMS RGB-D, salient object detection, multi-modal and multi-scale attention, progressive guided fusion. PEIXUN LIU received the Ph.D. degree from Jilin University, in 2015. ...
To achieve this goal, in this work, we present a progressive guided fusion network (PGFNet) with multi-modal and VOLUME 9, 2021 multi-scale attention for RGB-D salient object detection. ...
doi:10.1109/access.2021.3126338
fatcat:tv4icfm67fdn3emkkvsihkcywi
PGCA-Net: Progressively Aggregating Hierarchical Features with the Pyramid Guided Channel Attention for Saliency Detection
2020
Intelligent Automation and Soft Computing
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shallow detailed features for the salient object detection. ...
The Attention-guided Feature Aggregation Network (PGCA-Net) To fully exploit the multi-level features to generate the satisfactory saliency detection results, we developed an attention-guided feature aggregation ...
Deeply supervised salient object detection with short connections. In Proceedings of the IEEE Conference on Computer . Hu, J., Shen, L., & Sun, G. (2018) . Squeeze-andexcitation networks. ...
doi:10.32604/iasc.2020.010119
fatcat:3odd64j5qrdwbm554ululxjy2a
Motion Guided Attention for Video Salient Object Detection
[article]
2019
arXiv
pre-print
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In this paper, we develop a multi-task motion guided video salient object detection network, which learns to accomplish two sub-tasks using two sub-networks, one sub-network for salient object detection ...
We further introduce a series of novel motion guided attention modules, which utilize the motion saliency sub-network to attend and enhance the sub-network for still images. ...
Motivated by the above observations, in this paper, we propose a multi-task motion guided video salient object detection network, which models and exploits motion saliency to identify the salient objects ...
arXiv:1909.07061v2
fatcat:57foh6xuyvafxfwwwjidcqttni
RGB-D salient object detection: A survey
2021
Computational Visual Media
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Finally, we discuss several challenges and open directions of RGB-D based salient object detection for future research. ...
Moreover, to investigate the ability of existing models to detect salient objects, we have carried out a comprehensive attribute-based evaluation of several representative RGB-D based salient object detection ...
Acknowledgements This research was supported by a Major Project for a New Generation of AI under Grant No. 2018AAA0100400, National Natural Science Foundation of China (61922046), and Tianjin Natural Science ...
doi:10.1007/s41095-020-0199-z
pmid:33432275
pmcid:PMC7788385
fatcat:foiz2zth4vckjfuhvh524hwdtq
CAGNet: Content-Aware Guidance for Salient Object Detection
[article]
2019
arXiv
pre-print
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However, it is still challenging to learn effective features for detecting salient objects in complicated scenarios, in which i) non-salient regions may have "salient-like" appearance; ii) the salient ...
Furthermore, we utilize a Multi-scale Feature Extraction Module (MFEM) for each level of abstraction to obtain multi-scale contextual information. ...
[29] propose multi-context CNNs for exploiting local and global context for salient object detection. ...
arXiv:1911.13168v1
fatcat:cgskglb7mjgsln52jei26ku2xe
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection
[article]
2022
arXiv
pre-print
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2020 pre-print arXiv:2012.04886v1 fatcat:4nj225ypxveyfbsyam6cvy5k6qOther Versions
As moving objects always draw more attention of human eyes, the temporal motive information is always exploited complementarily with spatial information to detect salient objects in videos. ...
or the partial movement of salient objects. ...
Video Salient Object Detection Image salient object detection has been explored for decades and achieved excellent performance [10] - [12] . ...
arXiv:2012.04886v3
fatcat:r3525r6zebhrjidpfy6w7mixiu
Semantic-Guided Attention Refinement Network for Salient Object Detection in Optical Remote Sensing Images
2021
Remote Sensing
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This paper explores the inherent properties of multi-level features to develop a novel semantic-guided attention refinement network (SARNet) for SOD of NSI. ...
Simultaneously, the proposed parallel attention fusion (PAF) module combines cross-level features and semantic-guided information to refine the object's boundary and highlight the entire object area gradually ...
Acknowledgments: The authors would like to thank Dengping Fan for his guidance and help in this work.
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/rs13112163
fatcat:syufwr2xhnh3nchgftmjile6hi
Multi-modal Weights Sharing and Hierarchical Feature Fusion for RGBD Salient Object Detection
2020
IEEE Access
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INDEX TERMS RGBD, salient object detection, complementary feature extraction, hierarchical fusion. 26602 This work is licensed under a Creative Commons Attribution 4.0 License. ...
First, we propose a CNN-based cross-modal transfer learning, which learn knowledge from sufficient labeled RGB salient object datasets and guide the depth domain feature extraction. ...
In this paper, we propose a new pre-trained guide hierarchical fusion network (PGHF) for RGBD salient object detection. ...
doi:10.1109/access.2020.2971509
fatcat:aze3ddzokjcy3pn764iffcibsm
Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection
[article]
2021
arXiv
pre-print
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Salient object detection(SOD) aims at locating the most significant object within a given image. In recent years, great progress has been made in applying SOD on many vision tasks. ...
In this paper, we discuss about the advantages of the so-called progressive multi-scale fusion method and propose a mask-guided feature aggregation module(MGFA). ...
Depth maps can provide effective spatial information for salient object detection in complex scenes. ...
arXiv:2106.03941v1
fatcat:nkylvzchh5hezgjq5juifwtz5e
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
[article]
2020
arXiv
pre-print
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Existing RGB-D salient object detection (SOD) approaches concentrate on the cross-modal fusion between the RGB stream and the depth stream. ...
In this work, we design a single stream network to directly use the depth map to guide early fusion and middle fusion between RGB and depth, which saves the feature encoder of the depth stream and achieves ...
, National Natural Science Foundation of China #61876202, #61725202, #61751212 and #61829102, the Dalian Science and Technology Innovation Foundation #2019J12GX039, and the Fundamental Research Funds for ...
arXiv:2007.06811v2
fatcat:bl3xni72vrhjzbn47lbrumaycu
Deep attention-guided fusion network for lesion segmentation
[article]
2018
arXiv
pre-print
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The paper describes our algorithm and the final result of validation set for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection. ...
OVERVIEW OF ARCHITECTURE The architecture of our deep attention-guided network consists of two components, a multi-path feature fusion framework and a coupled structure module (CSM). ...
Inspired by this mechanism, we propose a novel attention-guided fusion network (see Fig. 1 ) to detect the skin lesion region. ...
arXiv:1807.08471v2
fatcat:dsluhmgj5ndvjpj43tmswyvk2e
Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning
[article]
2019
arXiv
pre-print
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relationships between background and foreground for efficient salient object detection. ...
Motivated by this observation that accurately salient object detection is related to both foreground and background, we proposed a novel cooperative attention mechanism that jointly considers reciprocal ...
Our Proposed Approach In this section, we give the details of the proposed Reciprocal Attention Network (RecNet) for salient object detection. ...
arXiv:1909.08269v1
fatcat:42nmt7ddybbk3awjzgrdwencxu
Salient Object Detection Using Recurrent Guidance Network with Hierarchical Attention Features
2020
IEEE Access
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To verify the hierarchial features are beneficial for salient object detection, we compare the strategy of direct fusion of multi-level features (denoted as "Baseline") with our hierarchial features fusion ...
Even though attention mechanism is beneficial for salient object detection, biased attention features that result in inaccurate prediction may be generated when hierarchical attention features are fused ...
doi:10.1109/access.2020.3017512
fatcat:36qg72i4cbdcvm5xibhddp74cm
Cross-layer Feature Pyramid Network for Salient Object Detection
[article]
2020
arXiv
pre-print
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In this work, we propose a novel Cross-layer Feature Pyramid Network (CFPN), in which direct cross-layer communication is enabled to improve the progressive fusion in salient object detection. ...
Feature pyramid network (FPN) based models, which fuse the semantics and salient details in a progressive manner, have been proven highly effective in salient object detection. ...
[49] both devise attention guided networks in which multiple layer-wise attention is progressively integrated for saliency detection. Wang et al. ...
arXiv:2002.10864v1
fatcat:4pf3dh4ex5duncnmrjiepbezjy
Dual-Branch Feature Fusion Network for Salient Object Detection
2022
Photonics
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Proper features matter for salient object detection. Existing methods mainly focus on designing a sophisticated structure to incorporate multi-level features and filter out cluttered features. ...
By employing the refinement fusion module, our approach is able to refine features from two branches and detect salient objects with final details without any post-processing. ...
Conclusions In this paper, we have presented a dual-branch feature fusion network for salient object detection. ...
doi:10.3390/photonics9010044
fatcat:c6ke5zisl5fcdfknuvxwoaggby
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