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Found 5 papers, 0 papers with code
Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras
Facial Expression Recognition (FER) is an active research domain that has shown great progress recently, notably thanks to the use of large deep learning models.
Spiking Neural Networks for Frame-based and Event-based Single Object Localization
Spiking neural networks have shown much promise as an energy-efficient alternative to artificial neural networks.
Bina-Rep Event Frames: a Simple and Effective Representation for Event-based cameras
This paper presents "Bina-Rep", a simple representation method that converts asynchronous streams of events from event cameras to a sequence of sparse and expressive event frames.
Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks
Many research works focus on leveraging the complementary geometric information of indoor depth sensors in vision tasks performed by deep convolutional neural networks, notably semantic segmentation.
Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning
It remains hard to deal with more complex tasks (e. g. segmentation, object detection) due to the small number of works on deep spiking neural networks for these tasks.
