Method and device for recognition and method and device for constructing recognition model
First Claim
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1. A device for constructing a recognition model, the device comprising:
- one or more hardware processors configured to;
obtain a first recognition model trained based on basic training data;
obtain new additional training data separate from the basic training data;
generate a second recognition model by further training the first recognition model to learn the additional training data; and
construct a final recognition model by integrating the first recognition model with the second recognition model,wherein, in the integrating of the first recognition model with the second recognition model, a select weight of the second recognition model is set to emphasize learning of the additional training data over maintaining of the first recognition model, or is set to emphasize the maintaining of the first recognition model over the learning of the additional training data.
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Abstract
A method and a device for recognition, and a method and a device for constructing a recognition model are disclosed. A device for constructing a recognition model includes a training data inputter configured to receive additional training data, a model learner configured to train a first recognition model constructed based on basic training data to learn the additional training data, and a model constructor configured to construct a final recognition model by integrating the first recognition model with a second recognition model generated by the training of the first recognition model.
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Citations
30 Claims
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1. A device for constructing a recognition model, the device comprising:
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one or more hardware processors configured to; obtain a first recognition model trained based on basic training data; obtain new additional training data separate from the basic training data; generate a second recognition model by further training the first recognition model to learn the additional training data; and construct a final recognition model by integrating the first recognition model with the second recognition model, wherein, in the integrating of the first recognition model with the second recognition model, a select weight of the second recognition model is set to emphasize learning of the additional training data over maintaining of the first recognition model, or is set to emphasize the maintaining of the first recognition model over the learning of the additional training data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of constructing a recognition model, the method comprising:
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obtaining a first recognition model trained based on basic training data; obtaining new additional training data separate from the basic training data; generating a second recognition model by further training, using one or more hardware processors, the first recognition model to learn the additional training data; and constructing, using the one or more hardware processors, a final recognition model by integrating the first recognition model with the second recognition model, wherein, in the integrating of the first recognition model with the second recognition model a select weight of the second recognition model is set to emphasize learning of the additional training data over maintaining of the first recognition model, or is set to emphasize the maintaining of the first recognition model over the learning of the additional training data. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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20. A recognition device comprising:
one or more hardware processors configured to; receive data to be recognized from a user; determine, based on the received data, whether to update a recognition model constructed in advance based on basic training data; in response to a determination that an update is required, train the recognition model to learn new additional training data separate from the basic training data to update the recognition model, the updating of the recognition model being performed to emphasize learning of the received data over maintaining of the recognition model, or performed to emphasize the maintaining of the recognition model over the learning of the received data; and recognize the received data using the recognition model constructed in advance or the updated recognition model. - View Dependent Claims (21, 22, 23, 24, 25, 26)
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27. A recognition model construction device, comprising:
one or more hardware processors configured to; obtain a first recognition model trained based on basic training data; obtain a second recognition model by training the first recognition model to learn new additional training data separate from the basic training data; and construct a third recognition model by integrating the first recognition model with the second recognition model based on a select weight, the select weight being set to emphasize learning of the additional training data over maintaining of the first recognition model, or is set to emphasize the maintaining of the first recognition model over the learning of the additional training data. - View Dependent Claims (28, 29, 30)
Specification