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Found 3 papers, 2 papers with code
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
We further enhance our model by tuning the VAE network via DA using galaxies in the overlapping footprint of DECaLS and BASS+MzLS, enabling the unbiased application of our model to galaxy images in both surveys.
A2D2: Audi Autonomous Driving Dataset
Research in machine learning, mobile robotics, and autonomous driving is accelerated by the availability of high quality annotated data.
Speeding up Semantic Segmentation for Autonomous Driving
We propose a novel deep network architecture for image segmentation that keeps the high accuracy while being efficient enough for embedded devices.
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