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Progressively Complementarity-Aware Fusion Network for RGB-D Salient Object Detection
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Figure 1: Traditional architectures of the CNN-based RGB-D salient object detection networks. (a) 'Early fusion' scheme adopted in [13] and (b) 'late fusion' scheme adopted in [14]. ...
How to incorporate cross-modal complementarity sufficiently is the cornerstone question for RGB-D salient object detection. ...
Figure 2 : 2 The architecture of the proposed progressively complementarity-aware fusion network for RGB-D salient object detection. ...
doi:10.1109/cvpr.2018.00322
dblp:conf/cvpr/ChenL18
fatcat:4wmrj7e43vdb3irinfkilca63q
Multi-modal Weights Sharing and Hierarchical Feature Fusion for RGBD Salient Object Detection
2020
IEEE Access
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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. ...
INDEX TERMS RGBD, salient object detection, complementary feature extraction, hierarchical fusion. 26602 This work is licensed under a Creative Commons Attribution 4.0 License. ...
Li and Yu [27] designed deep CNNs with multiple fully connected layers to extract multi-scale features further boost the performance for salient object detection. Yi et al. ...
doi:10.1109/access.2020.2971509
fatcat:aze3ddzokjcy3pn764iffcibsm
Adaptive Fusion for RGB-D Salient Object Detection
[article]
2019
arXiv
pre-print
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RGB-D salient object detection aims to identify the most visually distinctive objects in a pair of color and depth images. ...
Specifically, we design a two-streamed convolutional neural network (CNN), each of which extracts features and predicts a saliency map from either RGB or depth modality. ...
[17] designed a two-streamed CNN to extract RGB and depth features separately and then fuse them with a joint representation layer. Fusion in these methods is conducted with a single path. ...
arXiv:1901.01369v2
fatcat:y4kj2aonovgmrdiqqlbcwdpm3u
CNN-based RGB-D Salient Object Detection: Learn, Select and Fuse
[article]
2019
arXiv
pre-print
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The goal of this work is to present a systematic solution for RGB-D salient object detection, which addresses the following three aspects with a unified framework: modal-specific representation learning ...
Furthermore, a top-down fusion structure is constructed for sufficient cross-modal interactions and cross-level transmissions. ...
RGB-D salient object detection. ...
arXiv:1909.09309v1
fatcat:qdg64qx6kjbpxbjpmwlzjrqhcm
Adaptive Fusion for RGB-D Salient Object Detection
2019
IEEE Access
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INDEX TERMS RGB-D salient object detection, switch map, edge-preserving. ...
RGB-D (red, green, blue, and depth) salient object detection aims to identify the most visually distinctive objects in a pair of color and depth images. ...
The overview of our framework for RGB-D salient object detection. ...
doi:10.1109/access.2019.2913107
fatcat:xr2foirygjezxh6b2vzmiv6ney
Visual saliency detection for RGB-D images under a Bayesian framework
2018
IPSJ Transactions on Computer Vision and Applications
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In this paper, we propose a saliency detection model for RGB-D images based on the deep features of RGB images and depth images within a Bayesian framework. ...
network; then, the posterior probability of the RGB-D saliency is formulated by applying Bayes' theorem. ...
Acknowledgements This work was supported in part by the Beijing Municipal special financial project (PXM2016_278215_000013, ZLXM_2017C010) and by the Innovation Group Plan of Beijing Academy of Science ...
doi:10.1186/s41074-017-0037-0
fatcat:jklxzq46vrbh3mk6n7ocbqhoiu
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection
2018
IEEE Transactions on Image Processing
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In this paper, we propose a novel edge preserving and multi-scale contextual neural network for salient object detection. ...
Furthermore, our method can be generally applied to RGB-D saliency detection by depth refinement. ...
RGB-D Salient Object Detection RGB-D saliency is an emerging topic and most RGB-D saliency methods are based on fusing depth priors with RGB saliency priors. Ju et al. ...
doi:10.1109/tip.2017.2756825
pmid:28952942
fatcat:nmt2wuf3cjeavexdadpbo6y22i
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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The large availability of depth sensors provides valuable complementary information for salient object detection (SOD) in RGBD images. ...
The enhanced depth cues are further integrated with RGB features for SOD, using a novel fluid pyramid integration, which can make better use of multi-scale cross-modal features. ...
This research was supported by NSFC (61572264), the national youth talent support program, the Fundamental Research Funds for the Central Universities (Nankai University, NO. 63191501) and Tianjin Natural ...
doi:10.1109/cvpr.2019.00405
dblp:conf/cvpr/ZhaoCFCLZ19
fatcat:jbf7qmti4rfavdojywljdhk5va
RGB-D Salient Object Detection Based on Discriminative Cross-modal Transfer Learning
[article]
2017
arXiv
pre-print
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2017 pre-print arXiv:1703.00122v1 fatcat:r3uvhxyzjzhz7jtk6teoq2epsm
In this work, we propose to utilize Convolutional Neural Networks to boost the performance of depth-induced salient object detection by capturing the high-level representative features for depth modality ...
In the proposed approach, we leverage the auxiliary data from the source modality effectively by training the RGB saliency detection network to obtain the task-specific pre-understanding layers for the ...
The MCDL model, which leverages CNNs for RGB saliency detection, is among the best RGB salient object detection approaches. ...
arXiv:1703.00122v2
fatcat:ifzew4huvrgqxasxndqojw4pki
RGB-D salient object detection: A survey
2021
Computational Visual Media
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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 ...
In this paper, we provide a comprehensive survey of RGB-D based salient object detection models from various perspectives, and review related benchmark datasets in detail. ...
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
MutualFormer: Multi-Modality Representation Learning via Mutual Transformer
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2112.01177v1 fatcat:bzg5kd6wlvhsjbo67ci7fx3jqy
The pristine researchers generally adopt the CNN to extract features of independent modality and aggregate them with a fusion module. ...
We successfully apply the MutualFormer to the saliency detection problem and propose a novel approach to obtain the reinforced features of RGB and Depth images. ...
., RGB-D salient object detection and transformer in salient object detection.
A. RGB-D SOD RGB-D salient object detection aims to locate the most salient objects (or regions) from visual image(s). ...
arXiv:2112.01177v2
fatcat:h424ta636jhivojwe2s2atmine
RGBD Salient Object Detection via Deep Fusion
2017
IEEE Transactions on Image Processing
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2016 pre-print arXiv:1607.03333v1 fatcat:u3tj2rj2orclzgpf773t4bycya
This can guide the training of CNN towards detecting salient object more effectively due to the reduced learning ambiguity. ...
In this paper, we design a new convolutional neural network (CNN) to fuse different low level saliency cues into hierarchical features for automatically detecting salient objects in RGBD images. ...
(a) RGB image. (b) Depth image. (c) Saliency probability produced by the proposed CNN. (d) Background (non-salient) probability produced by the proposed CNN. ...
doi:10.1109/tip.2017.2682981
pmid:28320666
fatcat:m5jdky3zzrfzbnj3mvjaybf62q
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
Densely Deformable Efficient Salient Object Detection Network
[article]
2021
arXiv
pre-print
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Salient Object Detection (SOD) domain using RGB-D data has lately emerged with some current models' adequately precise results. ...
In this paper, inspired by the best background/foreground separation abilities of deformable convolutions, we employ them in our Densely Deformable Network (DDNet) to achieve efficient SOD. ...
This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (MSIT) (2019R1A2B5B01070067). ...
arXiv:2102.06407v1
fatcat:kbmzqxe5tfdezhs4n2tueh26n4
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection
2019
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
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RGB-D approaches. ...
Second, depth cues with abundant spatial information are innovatively combined with multi-scale context features for accurately locating salient objects. ...
Acknowledgment This work was supported by the National Natural Science Foundation of China(61605022 and U1708263) and the Fundamental Research Funds for the Central Universities(DUT19JC58). ...
doi:10.1109/iccv.2019.00735
dblp:conf/iccv/PiaoJLZL19
fatcat:onlkwdepnjhgdgc4c46ldctebq
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