Sentence examples for verification network to from inspiring English sources

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To solve this dilemma, we first utilize the verification network to learn the structural information from regions, which does not require explicit identity labels.

First, we learn the local features by dividing each pedestrian image into several regions, and take pairs of regions as the input of the verification network to extract local summing maps.

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The two methods both utilize the verification network and identification network to learn the features, while the proposed LEDF explicitly considers the structural information of pedestrian.

In 2012, Hall received the John Gideon Memorial Award from the Election Verification Network for contributions to election verification.

To complement with the verification network, we utilize the identification network to take full advantages of the identity labels and learn global features with strong discrimination.

Moreover, Zheng et al. [10] combined the verification network with the identification network to learn more discriminative pedestrian descriptors.

Since the discrimination of identification network is stronger than that of verification network, we utilize the identification network to learn the global information.

The Secretary may make grants and provide technical assistance to States and other public or nonprofit private entities for activities relating to the verification network developed under subsection (a).

Varior et al. [9] combined the verification network with some gating functions to selectively emphasize common local patterns by comparing the mid-level features across pairs of images.

For the verification network, we set the training epoch to 75, and set the learning rate to 0.001 and 0.0001 in the first 70 epochs and the final 5 epochs, respectively.

We expect to force the regions to the same feature space, and therefore, we first utilize the verification network, which does not require explicit identity labels, to learn the local features for similar and dissimilar pairs.

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