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Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation
The results of our experiments show that the proposed method improves the network's performance on real images by a considerable margin and can be employed in 3D reconstruction pipelines.
Deep Networks with Internal Selective Attention through Feedback Connections
It harnesses the power of sequential processing to improve classification performance, by allowing the network to iteratively focus its internal attention on some of its convolutional filters.
Ranked #181 on
Image Classification
on CIFAR-10
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