Yongqiang Bai

Joint Neural Architecture Search and Token Pruning for Efficient Visual Tracking

Recently, transformer-based trackers have become the leading approach, surpassing traditional CNN-based trackers in accuracy. However, their high computational demands hinder their deployment on edge platforms, necessitating efficient solutions. To address this, we propose a novel Neural Architectur