Unlock instant, AI-driven research and patent intelligence for your innovation.
Camouflage object detection method based on boundary alternate guidance
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A technology of object detection and boundary, applied in neural learning methods, biological neural network models, image data processing, etc., can solve problems such as blurred boundaries, wrong target areas in model learning, lack of boundaries, etc., to improve accuracy, improve precision, The effect of expanding the receptive field
Pending Publication Date: 2022-03-22
YANGZHOU UNIV
View PDF0 Cites 2 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
Among them, the method with better effect is the boundary fusion method, but most of the existing target object detection models use boundary fusion to extract the target object (such as EGNet, SCRN, etc.), but this type of method still has the following disadvantages: the lack of area for the boundary Further refinement may lead to blurred and missing boundaries, leading the model to learn the wrong target area
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0091] refer to Figure 1~5 , which is an embodiment of the present invention, provides a method for detecting camouflaged objects based on alternate boundary guidance, including:
[0092] S1: Construct a camouflage detection model based on alternate boundary guidance. On the basis of the backbone network, add and use the initial positioning module to extract the multi-scale deep features of the backbone network, and obtain a rough positioning map of the camouflaged object;
[0093] Furthermore, the backbone network adopts ResNet-34 network.
[0094] Furthermore, the initial positioning module includes:
[0095] Such as figure 1 , remove the last fully connected layer in the ResNet-34 network, and output S in the deep layer 2 -S 5 ;
[0096] Such as figure 2 , the initial positioning module outputs the fifth layer measurement output S 5 Enter the average poolingbranch and the maximum poolingbranch respectively;
[0097] S in the average poolingbranch 5 After the g...
Embodiment 2
[0170] With reference to Table 1, it is another embodiment of the present invention. In order to verify and illustrate the technical effect adopted in the method, the present embodiment adopts the traditional technical scheme and the method of the present invention to carry out comparative tests, and compares the test results with the means of scientific demonstration, to verify The real effect of this method.
[0171] In Table 1, the first column is the method model proposed in recent years, the subscript indicates the year proposed, such as NLDF17 indicates the method proposed in 2017; the second column indicates the backbone network of the model, and the complexity is ResNet-50>ResNet -34>VGG-16; the first line indicates the name of the dataset, such as CAMO, CHAMELEON, COD10K and NC4K, where CAMO and CHAMELEON are small datasets with only 250 and 76 pictures respectively, while COD10K and NC4K are large datasets, respectively By 2026, there are 4121 pictures; the second li...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
PUM
Login to View More
Abstract
The invention discloses a camouflageobject detection method based on boundary alternate guidance, which comprises the following steps: constructing a camouflage detection model based on boundary alternate guidance, adding an initial positioning module to extract multi-scale deep features of a backbone network, and obtaining a rough positioning map of a camouflage object; a multi-scale receptive field module is added to enlarge the receptive field of the rough positioning map and improve the semantic information extraction capability; a boundary alternating guide module is added to extract a region graph and a boundary graph layer by layer, and constraint refinement is carried out on the region graph and the boundary graph to obtain an accurate camouflage object prediction graph; according to the method, the camouflage object can be accurately positioned under similar backgrounds, a smoother camouflage object prediction image can be obtained by utilizing boundary constraint based on a boundary alternate guide structure, a continuous and clear boundary image can also be obtained by utilizing the prediction image constraint boundary, and the camouflage object detection precision is effectively improved.
Description
technical field [0001] The invention belongs to the field of computer vision and digital imageprocessing, in particular to a detection method for a camouflaged object based on alternate boundary guidance. Background technique [0002] In nature, camouflage is an important skill that allows creatures to blend with the background and avoid being attacked by natural enemies. Camouflaged object detection aims to identify objects that closely resemble their surroundings. The low contrast between camouflaged objects and the background can greatly deceive the human visual system, therefore, camouflaged object detection is more challenging than traditional saliency detection. [0003] In recent years, many algorithms based on color and texture features have been proposed for camouflaged object detection. When the color of the camouflage object is similar to that of the background, the texture feature is used to distinguish the camouflage object from the background; when the textu...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to View More 
Login to View More 
