| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4ddcb273a108a5d8472b335280098e06 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-58 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-047
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-454
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-53
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-103 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate |
2017-09-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1f86cd0dfa1e9cefc69e81ecf1b452b6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_edd301a37298e9fe8ad4af8042504f8e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4d97db2ed1f4e8a090b2b2173342c9f2 |
| publicationDate |
2018-04-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2018065158-A1 |
| titleOfInvention |
Computer device for training a deep neural network |
| abstract |
A computer device for training a deep neural network is suggested. The computer device comprises a receiving unit for receiving a two-dimensional input image frame, a deep neural network for examining the two-dimensional input image frame in view of objects being included in the two-dimensional in- put image frame, wherein the deep neural network comprises a plurality of hidden layers and an output layer representing a decision layer, a training unit for training the deep neural network using transfer learning based on synthetic images for generating a model comprising trained parameters, and an out- put unit for outputting a result of the deep neural network based on the model. The suggested computer device is capable of providing meaningful results also if there is lack of sufficient annotated training data, for example, in the scenario where the camera or system is under development is inaccessible. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109241825-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112347697-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109522965-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10867214-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11182649-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110852172-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110852172-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11715251-B2 |
| priorityDate |
2016-10-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |