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#

semantic-features

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Unofficial PyTorch implementation of Higgs Audio V2 Tokenizer with HuBERT semantic features. Complete training pipeline for semantic-acoustic audio tokenization with 960x downsampling and 8-layer RVQ.

  • Updated Oct 8, 2025
  • Python

This work proposes a feature refined end-to-end object tracking framework with a balanced performance using a high-level feature refine tracking framework. The feature refine module enhances the target feature representation power that allows the network to capture salient information to locate the target.

  • Updated Dec 13, 2021

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