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Found 6 papers, 2 papers with code
Automatic Radar Signal Detection and FFT Estimation using Deep Learning
This paper addresses a critical preliminary step in radar signal processing: detecting the presence of a radar signal and robustly estimating its bandwidth.
Piecewise Deterministic Markov Processes for Bayesian Neural Networks
Inference on modern Bayesian Neural Networks (BNNs) often relies on a variational inference treatment, imposing violated assumptions of independence and the form of the posterior.
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems
Application for semantic segmentation models in areas such as autonomous vehicles and human computer interaction require real-time predictive capabilities.
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval
Recently, Zero-shot Sketch-based Image Retrieval (ZS-SBIR) has attracted the attention of the computer vision community due to it's real-world applications, and the more realistic and challenging setting than found in SBIR.
Bayesian Neural Networks: An Introduction and Survey
Neural Networks (NNs) have provided state-of-the-art results for many challenging machine learning tasks such as detection, regression and classification across the domains of computer vision, speech recognition and natural language processing.
Fast and robust pushbroom hyperspectral imaging via DMD-based scanning
Using the image sensor pair, the device can simultaneously capture hyperspectral data as well as RGB images of the scene.
