A 3.55 mJ/frame Energy-efficient Mixed-Transformer based Semantic Segmentation Accelerator for Mobile Devices
Author:
Affiliation:
1. Korea Advanced Institute of Science and Technology (KAIST),School of Electrical Engineering,Daejeon,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10557746/10557828/10558649.pdf?arnumber=10558649
Reference27 articles.
1. Design of Augmented Reality Head-up Display System Based on Image Semantic Segmentation
2. A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes
3. Mask-SLAM: Robust Feature-Based Monocular SLAM by Masking Using Semantic Segmentation
4. Indoor Semantic Segmentation for Robot Navigating on Mobile
5. End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB
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