Middle Fusion and Multi-Stage, Multi-Form Prompts for Robust RGB-T Tracking

arXiv:2403.18193v1 Announce Type: new
Abstract: RGB-T tracking, a vital downstream task of object tracking, has made remarkable progress in recent years. Yet, it remains hindered by two major challenges: 1) the trade-off between performance and efficiency; 2) the scarcity of training data. To address the latter challenge, some recent methods employ prompts to fine-tune pre-trained RGB tracking models and leverage upstream knowledge in a parameter-efficient manner. However, these methods inadequately explore modality-independent patterns and disregard the dynamic reliability of different …

abstract arxiv challenge challenges cs.cv data efficiency form fusion major object performance progress prompts robust stage tracking trade trade-off training training data type vital