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C$^2$KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
Code for paper "C$^2$KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation".
Usage
Requirements
requirements.txt
Data Preparation
Download Original Dataset： CREMA-D, AVE, VGGSound,
Pre-processing
For AVE, CREMA-D and VGGSound dataset, we provide code to pre-process videos into RGB frames and audio wav files in the directory utils/data/.
Run commands
Detailed descriptions of options can be found in main_overlap_tag.py
- Pre-train the single modality model
- Conduct crossmodal knowledge distillation
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