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Dataset Augmentation with Synthetic Images Improves Semantic Segmentation
Although Deep Convolutional Neural Networks trained with strong pixel-level annotations have significantly pushed the performance in semantic segmentation, annotation efforts required for the creation of training data remains a roadblock for further improvements.
Object Detection Using Deep CNNs Trained on Synthetic Images
A further increase of 12% in the mAP is obtained by adding only 400 real images to these 4000 synthetic images in the training set.
GPGPU Acceleration of the KAZE Image Feature Extraction Algorithm
The CUDA based parallel implementation is described in detail with fine-grained comparison between the GPU and CPU implementations.
Mobile Device Identification via Sensor Fingerprinting
We demonstrate how the multitude of sensors on a smartphone can be used to construct a reliable hardware fingerprint of the phone.
Cryptography and Security
