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What is Classifying Point Clouds with PointNet about?

Project 5 for CS 6476 involves designing and training a neural network to classify point clouds from lidar scans using a simplified PointNet architecture. Students must submit their work through Gradescope, including a report and code files, while achieving at least 60% accuracy on the test set for full credit. Additional challenges and optimizations are suggested to improve performance and analysis of the dataset.

Author

spgt1103

Language

EN