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[HTML][HTML] Graph Neural Networks in Point Clouds: A Survey
D Li, C Lu, Z Chen, J Guan, J Zhao, J Du - Remote Sensing, 2024 - mdpi.com
With the advancement of 3D sensing technologies, point clouds are gradually becoming the
main type of data representation in applications such as autonomous driving, robotics, and …
main type of data representation in applications such as autonomous driving, robotics, and …
Hardware-aware graph neural network automated design for edge computing platforms
Graph neural networks (GNNs) have emerged as a popular strategy for handling non-
Euclidean data due to their state-of-the-art performance. However, most of the current GNN …
Euclidean data due to their state-of-the-art performance. However, most of the current GNN …
Efficient Deep Learning Accelerator Architectures by Model Compression and Data Orchestration
JF Zhang - 2022 - deepblue.lib.umich.edu
Deep neural networks (DNNs) have become the primary methods to solve machine learning
and artificial intelligence problems in the fields of computer vision, natural language …
and artificial intelligence problems in the fields of computer vision, natural language …