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CMDCF: an effective cross-modal dense cooperative fusion network for RGB-D SOD
The success of vision transformer demonstrates that the transformer structure is also suitable for various vision tasks, including high-level...
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WUSL–SOD: Joint weakly supervised, unsupervised and supervised learning for salient object detection
Deep learning methods for salient object detection (SOD) have been studied actively and promisingly. However, it is still challenging for the studies...
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A Pioneer Image Steganography Method Using the SOD Algorithm
Steganography is a technology that has gained popularity in recent years as people’s fears and susceptibilities have increased in today’s digital...
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TF-SOD: a novel transformer framework for salient object detection
Most of existing salient object detection models are based on fully convolutional network (FCN), which learn multi-scale/level semantic information...
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Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
Salient object detection (SOD) has been in the spotlight recently, yet has been studied less for high-resolution (HR) images. Unfortunately, HR...
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Salient Object Detection with Fusion of RGB Image and Eye Tracking Data
Salient object detection (SOD) is one of the fundamental topics in computer vision, but the current SOD algorithm is difficult to accurately find...
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X-shape Feature Expansion Network for Salient Object Detection in Optical Remote Sensing Images
Salient object detection in optical remote sensing images (RSI-SOD) is a valuable and challenging task. Some factors in RSI, such as the extreme...
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One-stop multiscale reconciliation attention network with scribble supervision for salient object detection in optical remote sensing images
Salient object detection in optical remote sensing images (RSI-SOD) faces significant challenges due to the unique characteristics of RSI imaging....
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Multi-scale Residual Interaction for RGB-D Salient Object Detection
RGB-D salient object detection (SOD) is used to detect the most attractive object in the scene. There is a problem in front of the existing RGB-D SOD...
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Medical Image Segmentation and Saliency Detection Through a Novel Color Contextual Extractor
Image segmentation is a critical step in computer-aided system diagnosis. However, many existing segmentation methods are designed for single-task...
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LCH: fast RGB-D salient object detection on CPU via lightweight convolutional network with hybrid knowledge distillation
Recently, the performance of RGB-D salient object detection (SOD) has been significantly improved with the development of deep-learning techniques....
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Light field salient object detection based on discrete viewpoint selection and multi-feature fusion
Light field imaging has been widely acknowledged for its ability to capture both spatial and angular information of a scene, which can improve the...
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UMINet: a unified multi-modality interaction network for RGB-D and RGB-T salient object detection
Multi-modality images with complementary cues can significantly improve the performance of salient object detection (SOD) methods in challenging...
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IMSFNet: integrated multi-source feature network for salient object detection
Multi-scale context features are conducive to image understanding, so it plays an important role in salient object detection (SOD) tasks, and...
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Three-Stage Bidirectional Interaction Network for Efficient RGB-D Salient Object Detection
The addition of depth maps improves the performance of salient object detection (SOD). However, most existing RGB-D SOD methods are inefficient. We...
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360 \(^{\circ }\) Omnidirectional Salient Object Detection with Multi-scale Interaction and Densely-Connected Prediction
Despite the fact that 360 \(^{\circ }\) cameras...
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Lightweight Multi-modal Representation Learning for RGB Salient Object Detection
The task of salient object detection (SOD) often faces various challenges such as complex backgrounds and low appearance contrast. Depth information,...
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Interactive context-aware network for RGB-T salient object detection
Salient object detection (SOD) focuses on distinguishing the most conspicuous objects in the scene. However, most related works are based on RGB...
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Segregation of Duties in Business Architecture Models
Business institutions manage their employees and particularly monitor if they responsibly realize their tasks. Business process modelling supports...
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Transformer guidance dual-stream network for salient object detection in optical remote sensing images
Salient object detection (SOD) has achieved remarkable performance in natural scene images (NSIs). However, current SOD methods still face serious...
