579 citations · 785 across the 3 of their papers we have counts for
14 papers
One Thousand and One Hours: Self-driving Motion Prediction Dataset
John Houston, Guido Zuidhof, Luca Bergamini +6
Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to date, containing over 1,000 hours of data. This w…
2018 Robotic Scene Segmentation Challenge
Max Allan, Satoshi Kondo, Sebastian Bodenstedt +38
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward ki…
Breast Tumor Cellularity Assessment using Deep Neural Networks
Alexander Rakhlin, Aleksei Tiulpin, Alexey A. Shvets +3
Breast cancer is one of the main causes of death worldwide. Histopathological cellularity assessment of residual tumors in post-surgical tissues is used to analyze a tumor's respon…
2017 Robotic Instrument Segmentation Challenge
Max Allan, Alex Shvets, Thomas Kurmann +16
In mainstream computer vision and machine learning, public datasets such as ImageNet, COCO and KITTI have helped drive enormous improvements by enabling researchers to understand t…
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…
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…