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This paper deals with the problem of arbitrary object tracking using Siamese convolutional neural network (CNN), which is trained to match the initial patch of the target in the first frame with candidates in a new frame. The network returns the most similar candidate with the smallest margin contrastive loss. For candidate proposals in each frame, a Siamese region proposal network is applied to identify...
Cervical cancer is one of the most common types of cancer in women worldwide. Most deaths due to the disease occur in less developed areas of the world. In this work, we introduce a new image dataset along with expert annotated diagnoses for evaluating image-based cervical disease classification algorithms. A large number of Cervigram® images are selected from a database provided by the US National...
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