| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0b38f158772a34e9040ee0338daa165e |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-73
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-73
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-774
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate |
2022-02-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9739577b3cb09fa6916371ad393e96a9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5cc0192c57fb0e2170699fc49d3c297b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5fe7c2e929a546d8bba7ce577ef3e87d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_80eacb6a724d14b3605261f7a409d8e1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d062b9aef9a8a5399d35ff0646c5f7dc |
| publicationDate |
2022-03-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114187491-A |
| titleOfInvention |
A method and device for detecting an occluded object |
| abstract |
The invention relates to an occluded object detection method and device, belonging to the technical field of image processing, and solves the problem that existing methods cannot detect whether objects of different shapes and sizes are occluded and cannot distinguish mutually occluded objects from other objects. The method includes: obtaining a training image and an image to be recognized in a dense scene and preprocessing the training image and the image to be recognized; labeling the category and position coordinates of the target to be recognized in the preprocessed training image; establishing an improved neural network model and use the labeled training images to train the improved neural network model to obtain the detection model. The improved neural network model includes the CBAM attention module to enhance the feature extraction ability of the detection model to recognize the target; Occlude objects for detection to obtain detection results. This method can improve the detection accuracy and positioning accuracy of occluded objects to meet the accuracy requirements of the algorithm in industrial applications. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115578563-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114764788-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115294556-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114764788-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115661603-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116129566-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115359306-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115294282-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114608522-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114608522-A |
| priorityDate |
2022-02-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |