http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113469913-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0b75a05785dbfd86d27a87ddcdc5a524 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02P70-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30136 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 |
| filingDate | 2021-07-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_051b5f6d18e8d31754f9f55f5a3c4efb http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e9f03737933707014e0e46ebd94a206d http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f0d070e020ed95f7fb432940e315b757 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_68a8258cbf68edfc451a3c2d34e0522c http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_700419d7105186c41f3da900372c613c |
| publicationDate | 2021-10-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113469913-A |
| titleOfInvention | A method for removing water droplets on the surface of hot-rolled steel strips based on a progressive recurrent generative adversarial network |
| abstract | The invention discloses a method for removing water droplets on the surface of hot-rolled strip steel based on a progressive cycle generation confrontation network. Then build a progressive recurrent generative adversarial network model, including a generative network and a discriminative network. Then, the paired images in the database are randomly selected as the training set and input into the progressive cycle generative adversarial network model, and the generative network and the discriminant network are trained. Finally, the trained generative network is used to remove water droplets on the surface of the hot-rolled strip. Compared with the related art, the method for removing water droplets on the surface of hot-rolled strip steel based on the progressive cycle generation confrontation network provided by the present invention can effectively suppress the interference of water droplets, and at the same time reliably preserve other details of the image, from false defects in the hot-rolled strip steel. A new perspective on removal to learn ways to improve the defect detection performance of existing AVI instruments. |
| priorityDate | 2021-07-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
Total number of triples: 26.