Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance

Liting Lin, Heng Fan, Zhipeng Zhang +3

Motivated by the Parameter-Efficient Fine-Tuning (PEFT) in large language models, we propose LoRAT, a method that unveils the power of large ViT model for tracking within laborator…