Patent ID: 11875554
Assignee: BOE TECHNOLOGY GROUP CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. The method according to claim 1, wherein generating the first-type image label of the target image based on the first feature and the second feature comprises:
inputting the first feature and the second feature into a first target label recognizing network; and
acquiring the first-type image label output by the first target label recognizing network;
generating the second-type image label based on the fused feature comprises:
inputting the fused feature into a second target label recognizing network; and
acquiring the second-type image label output by the second target label recognizing network;
prior to acquiring the plurality of features based on the target image and the partial image, the method further comprises:
acquiring a first sample set, a second sample set and a third sample set, wherein the first sample set comprises a first-type sample image and a label thereof; the second sample set comprises a second-type sample image and a label thereof; and the third sample set comprises a third-type sample image, and the first-type image label and the second-type image label thereof;
acquiring an intermediate feature extracting network by training an initial feature extracting network using the first sample set;
acquiring an intermediate feature fusing network by training an initial feature fusing network using the second sample set; and
acquiring a neural network model by training a to-be-trained neural network using the third sample set,
wherein the to-be-trained neural network comprises the intermediate feature extracting network, the intermediate feature fusing network, a first initial label recognizing network and a second initial label recognizing network;
the neural network model comprises a target feature extracting network, the target feature fusing network, the first target label recognizing network and the second target label recognizing network;
the target feature extracting network is acquired by training the intermediate feature extracting network, and comprises the first feature extracting network and the second feature extracting network; the first target label recognizing network is acquired by training the first initial label recognizing network; and the second target label recognizing network is acquired by training the second initial label recognizing network.