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CTPNet Achieving Real-Time Semantic Segmentation On Resource-Constrained Edge Devices For Autonomous Driving by ngotrungtindn04 is a document available to read on EtoBox.
What is CTPNet Achieving Real-Time Semantic Segmentation On Resource-Constrained Edge Devices For Autonomous Driving about?
The article presents CTPNet, a novel semantic segmentation network designed for real-time operation on resource-constrained edge devices, particularly for autonomous driving applications. It introduces two key components: the Locally Dense Context Aggregation Bottleneck (LD-CAB) for capturing short-to-medium-range context and the Complementary Twin Pyramid (CTP) module for long-range context, achieving a balance between accuracy and computational efficiency. CTPNet demonstrates impressive performance with o
- Author
- ngotrungtindn04
- Language
- EN