Introduction to Spiking Neural Network Multiple Object Tracking
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Spiking Neural Network Multiple Object Tracking Comprehensive Overview
Authors: Guillem Brasó, Laura Leal-Taixé Description: Graphs offer a natural way to formulate A short video showing two (easy and difficult) MOT trials. tinyML EMEA 2022 Full Stack Solutions session: Low power, low latency
Presentation for paper in CVPR 2021 Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning ...
Summary & Highlights for Spiking Neural Network Multiple Object Tracking
- https://arxiv.org/abs/2205.04339 Automotive embedded algorithms have very high constraints in terms of latency, accuracy and ...
- https://telecombcn-dl.github.io/2018-dlcv/
- SNNs have gained significant attention in the field of neuromorphic computing, due to their ability to simulate the behavior of ...
- In the paper, we show how scalable, low-cost trunk-like robotic arms can be constructed using only basic 3D-printing equipment ...
- Paper: https://arxiv.org/abs/1912.07515 Speaker Bio: Guillem Brasó Guillem Brasó recently started his Ph. D. at the Dynamic ...
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