| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_407f194be1912f6c2db08eeb82a7106c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4c0ed78c4d5c4951a22374d61ea1f178 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20016
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/G06T2207-20221 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate |
2020-12-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2552008c89ba77f21a778a990c3e0b37
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3cd80cd5f32b92601cf669ef2c41b001
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_29d416988c15aa7a44c9c762f8720bfc
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7165947adf52ed8d8ea524c80db9d92a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3abacff3b4f34bff58aa8f04dac3b056
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a21c05f7e91c0743716e4956f6fe8500 |
| publicationDate |
2021-03-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-112581450-A |
| titleOfInvention |
Pollen detection method based on expansion convolution pyramid and multi-scale pyramid |
| abstract |
The invention provides a pollen detection method based on an expansion convolution pyramid and a multi-scale pyramid, which comprises the following steps: inputting a pollen image to be detected into a feature fusion layer in a pollen detection feature network model, and acquiring the pollen fusion feature of the pollen image to be detected, wherein the feature fusion layer is obtained by fusing an expansion convolution pyramid and a multi-scale pyramid; and inputting the pollen fusion characteristics into a detection layer in the pollen detection characteristic network model to obtain a detection result. According to the pollen detection method based on the expansion convolution pyramid and the multi-scale pyramid, the feature fusion layer is formed based on the multi-scale pyramid and the expansion convolution pyramid, and pollen particles in the image can be accurately detected. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112990073-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115861855-A |
| priorityDate |
2020-12-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |