RELO: Reinforcement Learning to Localize for Visual Object Tracking

ArXi:2605.07379v1 Announce Type: cross Conventional visual object trackers localize targets using handcrafted spatial priors, often in the form of heatmaps. Such priors provide only surrogate supervision and are poorly aligned with tracking optimization and evaluation metrics, such as intersection over union (IoU) and area under the success curve (AUC). Here, we