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Image Segmentation Using Deep Learning: A Survey

Image segmentation is a key topic in image processing and computer visio...
01/15/2020 ∙ by Shervin Minaee, et al. ∙ 159 ∙ share

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Deep Learning for 3D Point Clouds: A Survey

Point cloud learning has lately attracted increasing attention due to it...
12/27/2019 ∙ by Yulan Guo, et al. ∙ 156 ∙ share

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Deep learning achieves perfect anomaly detection on 108,308 retinal images including unlearned diseases

Optical coherence tomography (OCT) scanning is useful in detecting vario...
01/13/2020 ∙ by Ayaka Suzuki, et al. ∙ 131 ∙ share

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Causal Discovery from Incomplete Data: A Deep Learning Approach

As systems are getting more autonomous with the development of artificia...
01/15/2020 ∙ by Yuhao Wang, et al. ∙ 126 ∙ share

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Deep Learning in Medical Image Registration: A Review

This paper presents a review of deep learning (DL) based medical image r...
12/27/2019 ∙ by Yabo Fu, et al. ∙ 111 ∙ share

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End-to-end Learning, with or without Labels

We present an approach for end-to-end learning that allows one to jointl...
12/30/2019 ∙ by Corinne Jones, et al. ∙ 101 ∙ share

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Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach

The past decades have witnessed the rapid development of image and video...
01/09/2020 ∙ by Yueyu Hu, et al. ∙ 98 ∙ share

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Anomaly Detection with Density Estimation

We leverage recent breakthroughs in neural density estimation to propose...
01/14/2020 ∙ by Benjamin Nachman, et al. ∙ 94 ∙ share

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Structured GANs

We present Generative Adversarial Networks (GANs), in which the symmetri...
01/15/2020 ∙ by Irad Peleg, et al. ∙ 92 ∙ share

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Review: deep learning on 3D point clouds

Point cloud is point sets defined in 3D metric space. Point cloud has be...
01/17/2020 ∙ by Saifullahi Aminu Bello, et al. ∙ 91 ∙ share

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Opytimizer: A Nature-Inspired Python Optimizer

Optimization aims at selecting a feasible set of parameters in an attemp...
12/30/2019 ∙ by Gustavo H. de Rosa, et al. ∙ 84 ∙ share

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