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Found 7 papers, 0 papers with code
Event-to-Video Conversion for Overhead Object Detection
In this paper, we investigate the viability of event streams for overhead object detection.
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor
Neuromorphic processors have garnered considerable interest in recent years for their potential in energy-efficient and high-speed computing.
ColMix -- A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images
In this work, we present a novel augmentation method, called collage pasting, for increasing the object density without a need for segmentation masks, thereby improving the detector performance.
Universal Fourier Attack for Time Series
A wide variety of adversarial attacks have been proposed and explored using image and audio data.
Dictionary Learning with Accumulator Neurons
The Locally Competitive Algorithm (LCA) uses local competition between non-spiking leaky integrator neurons to infer sparse representations, allowing for potentially real-time execution on massively parallel neuromorphic architectures such as Intel's Loihi processor.
Digital Signal Processing Using Deep Neural Networks
Currently there is great interest in the utility of deep neural networks (DNNs) for the physical layer of radio frequency (RF) communications.
Image Compression: Sparse Coding vs. Bottleneck Autoencoders
Bottleneck autoencoders have been actively researched as a solution to image compression tasks.
