An Event-Driven Object Recognition Model Using Activated Connected ...
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This paper proposes a novel event-driven hierarchical recognition model using an activated connected domain (ACD) location method and an SNN classifier with ...
This paper proposes a novel event-driven hierarchical recognition model using an activated connected domain (ACD) location method and an SNN classifier with ...
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We propose a neuromimetic architecture capable of always-on pattern recognition, ie at any time during processing.
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An Event-Driven Object Recognition Model Using Activated Connected Domain Detection. Tang Tang, Runhao Jiang, Rui Yan, Huajin Tang. 2020, IEEE Symposium ...
In this work, we propose an event-based hierarchical model using feature fusion and SNNs for object recognition. In the proposed model, input event stream is ...
An Event-Driven Object Recognition Model Using Activated Connected Domain Detection · Asynchronous Event-Based Corner Detection Using Adaptive Time Threshold.
May 7, 2024 · This paper provides an overview of object detection using event data in autonomous driving, showcasing the competitive benefits of event cameras.
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Aug 18, 2024 · This repository is dedicated to categorizing articles on event-based vision. While many papers are directly linked to PDFs hosted on ...
Jul 19, 2023 · Abstract. We propose a neuromimetic architecture that can perform always-on pattern recognition. To achieve this, we have extended an.
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From these observations, we propose a joint learning framework of two closely-linked tasks: event-based object recognition and event-to-image reconstruction.
Missing: Activated Connected