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Real-time salient object detection based on accuracy background and salient path source selection
Boundary and connectivity prior are common methods for detecting the image salient object. They often address two problems: 1) if the salient object...
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FGNet: Fixation guidance network for salient object detection
In challenging scenarios (e.g., small objects and cluttered backgrounds), most existing algorithms suffer from inconsistent results with human visual...
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Semantic feature-guided and correlation-aggregated salient object detection
Most current salient object detection (SOD) methods employ an encoder-decoder architecture based on fully convolutional neural networks. However, the...
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Salient object detection in HSI using MEV-SFS and saliency optimization
The existing methods in salient object detection (SOD) in hyperspectral images (HSI) have used different priors like center prior, boundary prior to...
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Video salient object detection via self-attention-guided multilayer cross-stack fusion
Video salient object detection is an effective measure for identifying objects of interest within video sequences, which requires the processing of...
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DIG: dual interaction and guidance network for salient object detection
The focus of salient object detection (SOD) research is to obtain rich and effective features for characterizing objects. Recent progress on SOD...
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EMSNet: Extremely multi-scale network for salient object detection
In salient object detection, accurately segmenting objects across scales and refining boundaries are crucial challenges. We introduce the Multi-UNet...
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HCA-YOLO: a non-salient object detection method based on hierarchical attention mechanism
The objective of deep learning-based object detection is to accurately localize and recognize objects of interest from images or videos using neural...
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DSFNet: dynamic selection-fusion networks for video salient object detection
How to effectively fuse spatiotemporal clues is the key to improve the accuracy of video salient object detection. Although most existing methods...
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Region-based feature combination for robust salient object detection
The diversity of natural images in terms of visual features is useful in saliency detection. The complementary visual features jointly improve the...
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Spatial attention-guided deformable fusion network for salient object detection
Most of salient object detection methods employ U-shape architecture as the understructure. Although promising performance has been achieved, they...
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Pyramid contract-based network for RGB-T salient object detection
RGB-Thermal (RGB-T) salient object detection (SOD) aims at utilizing RGB and thermal infrared data to segment the most visually attractive object(s)...
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Fie-net: spatiotemporal full-stage interaction enhancement network for video salient object detection
In the task of video salient object detection, how to effectively fuse spatiotemporal cues is the key to successfully detecting salient objects....
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Multiple salient object detection through multi-level foreground segmentation strategy
This article presents a novel method for identifying multiple salient regions using a combination of foreground clues. While previous research has...
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RGB-T salient object detection via excavating and enhancing CNN features
RGB-T salient object detection aims to identify the most attractive object(s) in a scene using RGB and thermal data. For this task, on the one hand,...
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Salient-aware multiple instance learning optimized network for weakly supervised object detection
In recent years, weakly supervised object detection network has achieved great development. However, due to the lack of bounding box supervision, the...
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Higher efficient YOLOv7: a one-stage method for non-salient object detection
Compared to the remarkable progress within the discipline of object detection in recent years, real-time detection of non-salient objects remains a...
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Group attention retention network for co-salient object detection
The co-salient object detection (Co-SOD) aims to discover common, salient objects from a group of images. With the development of convolutional...
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RGB-D salient object detection via convolutional capsule network based on feature extraction and integration
Fully convolutional neural network has shown advantages in the salient object detection by using the RGB or RGB-D images. However, there is an...
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A multi-source feature extraction network for salient object detection
Salient object detection (SOD) must capture the multi-level features from both global and local view. Furthermore, interiors and boundaries of...
