Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ac242e63c7b998ac371691bd9437cf33 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-00 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
filingDate |
2017-01-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9e4a937338798c2dbe2be6c9e8077a7c |
publicationDate |
2017-05-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
CN-106682736-A |
titleOfInvention |
Image recognition method and device |
abstract |
The present disclosure relates to an image recognition method and device. The method includes: inputting the image to be recognized into a trained first convolutional neural network, the first convolutional neural network includes P groups of convolutional layers, each group of convolutional layers includes two convolutional layers, and the two The convolution kernels of the convolution layer are respectively the first convolution kernel with a size of 1*N and the second convolution kernel with a size of N*1; through each group of convolution layers of the first convolution neural network pair The image to be recognized is subjected to feature extraction to obtain the features to be extracted of each set of convolutional layers; the recognition result of the image to be recognized is determined according to the features to be extracted of each set of convolutional layers. The technical solution provided by the present disclosure solves the problems of large calculation amount and high calculation cost caused by adopting a square convolution kernel in the related art. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10699160-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109784186-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111798520-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107967459-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019105243-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109033940-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107943750-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107944545-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107944545-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109840584-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10909418-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109978137-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107967459-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109978137-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111247527-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111247527-B |
priorityDate |
2017-01-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |