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EURASIP Journal on Image and Video Processing
Fig. 5 | EURASIP Journal on Image and Video Processing

Fig. 5

From: Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss

Fig. 5

The architecture of our proposed deep CNN. The proposed CNN takes the triple images as input (the original image, the positive image, and the negative image). Three parameter-sharing CNNs are exploited to process the original image, the positive image, and the negative image, respectively. Softmax loss and triplet loss are combined at the end of the architecture. L2 denotes the L2-normalization

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