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In this work, we introduce BYE, a class-agnostic, per-scene point cloud encoder that removes the need for predefined categories, shape priors, or extensive association datasets. Trained on only a ...

Class incremental learning (CIL) aims to enable models to continuously learn new classes without catastrophically forgetting old ones. A promising direction is to learn and use prototypes of classes ...

About Use openvoice v2 module to do real time tts (text to speech) task for on-device robotics. Trying to inference the model on single board like raspberry pi, jetson boards.

The encoder module (Chen and Guo, 2023) is responsible for converting the input point cloud data into feature representations with semantic information. Assuming the input point cloud data is denoted ...