most citedAlbumentations: fast and flexible image augmentations

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cs.CV2018★ 1 cited

Camera Model Identification Using Convolutional Neural Networks

Artur Kuzin, Artur Fattakhov, Ilya Kibardin +2

Source camera identification is the process of determining which camera or model has been used to capture an image. In the recent years, there has been a rapid growth of research i…

cs.CV2018★ 2.3k cited

Albumentations: fast and flexible image augmentations

Alexander Buslaev, Alex Parinov, Eugene Khvedchenya +2

Data augmentation is a commonly used technique for increasing both the size and the diversity of labeled training sets by leveraging input transformations that preserve output labe…

cs.CV2018★ 14 cited

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Vladimir I. Iglovikov, Selim Seferbekov, Alexander V. Buslaev +1

The most common approaches to instance segmentation are complex and use two-stage networks with object proposals, conditional random-fields, template matching or recurrent neural n…

cs.CV2018

Accurate Deep Direct Geo-Localization from Ground Imagery and Phone-Grade GPS

Shaohui Sun, Ramesh Sarukkai, Jack Kwok +1

One of the most critical topics in autonomous driving or ride-sharing technology is to accurately localize vehicles in the world frame. In addition to common multi-view camera syst…

cs.CV2018★ 219 cited

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov +1

Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics significantly increases the chances of correct treatment and survival, but this process is tedi…