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Found 5 papers, 5 papers with code
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception
The dataset consists of 176 scenes with synchronized and calibrated LiDAR, camera, and radar sensors covering a 360-degree field of view.
Ranked #1 on
3D Object Detection
on aiMotive Dataset
Galaxy shape measurement with convolutional neural networks
We present our results from training and evaluating a convolutional neural network (CNN) to predict the shapes of galaxies from wide field survey images.
Cosmology and Nongalactic Astrophysics
Weak lensing cosmology with convolutional neural networks on noisy data
Previous studies attempted to extract non-Gaussian information from weak lensing observations through several higher-order statistics such as the three-point correlation function, peak counts or Minkowski-functionals.
Cosmology and Nongalactic Astrophysics
Learning from deep learning: better cosmological parameter inference from weak lensing maps
Gravitational weak lensing is one of the most promising probes of cosmology.
Cosmology and Nongalactic Astrophysics
Detecting and classifying lesions in mammograms with Deep Learning
In the last two decades Computer Aided Diagnostics (CAD) systems were developed to help radiologists analyze screening mammograms.
