1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Self-Supervised Quantization-Aware Knowledge Distillation
Kaiqi Zhao, Ming Zhao
Quantization-aware training (QAT) and Knowledge Distillation (KD) are combined to achieve competitive performance in creating low-bit deep learning models. However, existing works…
cs.CV2023
LiDAR-based Outdoor Crowd Management for Smart Campus on the Edge
Yitao Chen, Krishna Gundu, Zohair Zaidi +1
Crowd management is crucial for a smart campus. Popular methods are camera-based. However, conventional camera-based approaches may leak users' personally identifiable features, je…
cs.CV2023★ 1 cited
Poster: Self-Supervised Quantization-Aware Knowledge Distillation
Kaiqi Zhao, Ming Zhao
Quantization-aware training (QAT) starts with a pre-trained full-precision model and performs quantization during retraining. However, existing QAT works require supervision from t…