Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models.

arXiv:2407.19564v2 Announce Type: replace-cross Abstract: Recent advancements in motion forecasting have been significantly accelerated by self-supervised pre-training techniques. However, current methods typically rely on extensive fine-tuning of pre-trained