LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks

arXiv:2404.06247v1 Announce Type: new
Abstract: Visual object tracking plays a critical role in visual-based autonomous systems, as it aims to estimate the position and size of the object of interest within a live video. Despite significant progress made in this field, state-of-the-art (SOTA) trackers often fail when faced with adversarial perturbations in the incoming frames. This can lead to significant robustness and security issues when these trackers are deployed in the real world. To achieve high accuracy on both clean …

abstract adversarial art arxiv attacks autonomous autonomous systems continuous cs.cv language object progress representation role sota state systems tracking type video visual