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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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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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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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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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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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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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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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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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A Novel Edge-Inspired Depth Quality Evaluation Network for RGB-D Salient Object Detection
Recently, the pair of RGB images and depth images, which is denoted as RGB-D images, are introduced to improve the performances of salient object...
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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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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...
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Cross-Modal Fusion and Progressive Decoding Network for RGB-D Salient Object Detection
Most existing RGB-D salient object detection (SOD) methods tend to achieve higher performance by integrating additional modules, such as feature...
