2 papers
cs.CV2026
Label-Guided Knowledge Distillation for 3D-CNNs in Action Recognition
Yanjiang Shi, Peng Zhao, Nan Qi +1
As a key model compression technique, knowledge distillation aims to transfer knowledge from a high-capacity teacher model to a lightweight student model for enhancing the latter's…
cs.CV2025
EdgeSync: Accelerating Edge-Model Updates for Data Drift through Adaptive Continuous Learning
Runchu Donga, Peng Zhao, Guiqin Wang +2
Real-time video analytics systems typically deploy lightweight models on edge devices to reduce latency. However, the distribution of data features may change over time due to vari…