Target detection method and device, computing device and readable storage medium
AssigneeBoe Technology Group Co., Ltd.
InventorJinglin Yang
Life of this patent
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Abstract
The present disclosure relates to a target detection method and device, a computing device and a readable storage medium. The target detection method include performing target detection using a convolutional neural network comprising a plurality of convolutional layers. The method include performing a branch convolutional process on at least one of the convolutional layers to obtain a branch detection result. The method includes performing a fusion process on the branch detection result, or on the branch detection result and a detection result of a last convolutional layer in the convolutional neural network, and transmitting a result of the fusion process to a fully connected layer.
Claims17
A target detection method, comprising:
- performing target detection using a convolutional neural network comprising a plurality of convolutional layers;
- performing trunk processes on individual ones of the plurality of convolutional layers in sequence, and performing a branch convolutional process on at least one of the plurality of convolutional layers to obtain a branch detection result;
- performing a fusion process on the branch detection result, or on the branch detection result and a detection result of a last convolutional layer in the convolutional neural network which is generated based on a trunk process of the last convolutional layer;
- and
- transmitting a result of the fusion process to a fully connected layer.
A system, comprising:
- at least one computing device comprising a memory and at least one hardware processor;
- and
- executable instructions stored in the memory that, when executed by the at least one hardware processor, direct the at least one hardware processor to:
- perform target detection using a convolutional neural network comprising a plurality of convolutional layers;
- perform trunk processes on individual ones of the plurality of convolutional layers in sequence, and perform a branch convolutional process on at least one of the plurality of convolutional layers to obtain a branch detection result;
- perform a fusion process on the branch detection result, or on the branch detection result and a detection result of a last convolutional layer in the convolutional neural network that is generated based on a trunk process of the last convolutional layer;
- and
- transmit a result of the fusion process to a fully connected layer.
A non-transitory computer-readable storage medium having executable instructions stored thereon that, when executed by at least one hardware processor, direct the at least one hardware processor to implement a target detection method, wherein the target detection method comprises:
- performing target detection using a convolutional neural network comprising a plurality of convolutional layers;
- performing trunk processes on individual ones of the plurality of convolutional layers in sequence, and performing a branch convolutional process on at least one of the convolutional layers to obtain a branch detection result;
- performing a fusion process on the branch detection result, or on the branch detection result and a detection result of a last convolutional layer in the convolutional neural network which is generated based on a trunk process of the last convolutional layer;
- and
- transmitting a result of the fusion process to a fully connected layer.
Dependencies are inferred from the claim text.