OA-CNNs: A Family of Networks that Integrates a Lightweight Module to Greatly Enhance the Adaptivity of Sparse Convolutional Neural Networks CNNs at Minimal Computational Cost

In the realm of 3D scene understanding, a significant challenge arises from the irregular and scattered nature of 3D point clouds, which diverge significantly from the densely and uniformly arranged pixels in images. To address this, various feature extraction methods have emerged: point-based networks and sparse convolutional neural networks CNNs Convolutional Neural Networks. Point-based networks […]

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