KPConvX: Kernel Point Convolution Modernization with Kernel Awareness
In the field of deep point cloud understanding, KPConv is a unique architecture that uses kernel points to localize convolutional ...
Tag: Convolution
McGill University researchers present Pythia 70M model for distilling transformers into long convolution models
The emergence of large language models (LLMs) has transformed the natural language processing (NLP) landscape. The introduction of transformative architecture ...
Exploring Pointwise Convolution in CNNs
Introduction Convolutional Neural Networks (CNNs) have been key players in understanding images and patterns, transforming the landscape of deep learning. ...
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