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Boundary-aware small object detection with attention and interaction
Object detection is a critical technology for the intelligent analytical processing of images captured by drones. The objects usually come in various...
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Alternate guidance network for boundary-aware camouflaged object detection
Camouflaged object, similar to the background, shows indistinct boundaries and low-contrast features, which brings great challenges to the detection...
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Camouflaged object detection based on context-aware and boundary refinement
Camouflaged Object Detection (COD) has been increasingly studied and the detection performance has been greatly improved based on deep learning...
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BG-Net: boundary-guidance network for object consistency maintaining in semantic segmentation
Semantic segmentation suffers from boundary shift and shape deformation problems due to the neglect of overall guidance information. Motivated by...
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Boundary-guided context-aware network for camouflaged object detection
Camouflaged object detection (COD) aims to identify and segment items that are seamlessly assimilate into the surroundings. Compared with the...
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Boundary Guided Feature Fusion Network for Camouflaged Object Detection
Camouflaged object detection (COD) refers to the process of detecting and segmenting camouflaged objects in an environment using algorithmic...
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Object affordance detection with boundary-preserving network for robotic manipulation tasks
Object affordance detection aims to identify, locate and segment the functional regions of objects, so that robots can understand and manipulate...
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BENet: Boundary Enhance Network for Salient Object Detection
Although deep convolutional networks have achieved good results in the field of salient object detection, most of these methods can not work well...
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Fusion Boundary and Gradient Enhancement Network for Camouflage Object Detection
The problems of boundary interruption and missing internal texture feature have not been well solved in the current camouflaged object detection...
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Emphasizing Boundary-Positioning and Leveraging Multi-scale Feature Fusion for Camouflaged Object Detection
Camouflaged object detection (COD) aims to identify objects that blend in with their surroundings and have numerous practical applications. However,...
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Swarm intelligence based object tracking
Though object tracking is a very old problem still there are several challenges to be solved; for instance, variation of illumination of light,...
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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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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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Multi-object behaviour recognition based on object detection cascaded image classification in classroom scenes
For multi-object behaviour recognition in classroom scenes, crowded objects have heavy occlusion, invisible keypoints, scale variation, which...
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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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A Novel Boundary-Guided Global Feature Fusion Module for Instance Segmentation
The task of instance segmentation is widely acknowledged as being one of the most formidable challenges in the field of computer vision. Current...
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An improved anchor-free method for traffic scene object detection
Due to the low detection accuracy of most anchor-free detectors and the slow detection speed of anchor-based detectors. Therefore, to balance the...
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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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Underwater occluded object recognition with two-stage image reconstruction strategy
The complex underwater environment, such as foreign object occlusion and dim light, causes the feature of underwater objects to be seriously missing....
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Two guidance joint network based on coarse map and edge map for camouflaged object detection
Camouflaged object detection (COD) entails identifying objects in an image that blend with the background. However, most traditional COD methods have...
