Powerful Teachers Matter: Text-Guided Multi-view Knowledge Distillation with Visual Prior Enhancement

1. 1Leverage dual-modality teachers, including visual and text teachers, to provide richer supervisory signals
2. 2Enhance teacher knowledge quality using visual prior enhancement
3. 3Apply Text-Guided Multi-view Knowledge Distillation (TMKD) for efficient inference
4. 4Evaluate the performance of TMKD on various benchmarks and datasets

AI engineers and ML researchers benefit from this approach as it improves knowledge distillation, while product managers can apply it to develop more efficient AI models

💡 Dual-modality teachers can provide richer supervisory signals, improving knowledge distillation

💡 Enhance teacher knowledge quality with Text-Guided Multi-view Knowledge Distillation (TMKD) for efficient AI inference