SNN-Based Semantic Segmentation Method Using Adaptive Threshold and Multi-Feature Fusion
Spiking neural networks (SNN) are asynchronous and sparse, making them a low-power alternative to artificial neural networks (ANN) in specific scenarios. However, SNNs exhibit deficiencies such as limited feature expression and low result accuracy when utilized for complex tasks such as semantic seg...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2024-12-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2024.06.012 |
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