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Found 4 papers, 1 papers with code
A Hybrid SNN-ANN Network for Event-based Object Detection with Spatial and Temporal Attention
Event cameras offer high temporal resolution and dynamic range with minimal motion blur, making them promising for object detection tasks.
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models
To overcome this limitation, we explore sparse and recurrent model training on a massively parallel multiple instruction multiple data (MIMD) architecture with distributed local memory.
Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control
However, the self-attention mechanism often used in Transformers requires large time windows for each computation step and thus makes them less suitable for online signal processing compared to Recurrent Neural Networks (RNNs).
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time
In this paper we propose a novel 3D single-shot object detection method for detecting vehicles in monocular RGB images.
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