155 citations · 413 across the 10 of their papers we have counts for
3 papers · 2 filters
Dataset Augmentation with Synthetic Images Improves Semantic Segmentation
Manik Goyal, Param Rajpura, Hristo Bojinov +1
Although Deep Convolutional Neural Networks trained with strong pixel-level annotations have significantly pushed the performance in semantic segmentation, annotation efforts requi…
GPGPU Acceleration of the KAZE Image Feature Extraction Algorithm
Ramkumar B, R. S. Hegde, Rob Laber +1
The recently proposed open-source KAZE image feature detection and description algorithm offers unprecedented performance in comparison to conventional ones like SIFT and SURF as i…
Object Detection Using Deep CNNs Trained on Synthetic Images
Param S. Rajpura, Hristo Bojinov, Ravi S. Hegde
The need for large annotated image datasets for training Convolutional Neural Networks (CNNs) has been a significant impediment for their adoption in computer vision applications.…