This repository aggregates and tracks the latest advances in multi-modal object tracking (MMOT), a computer vision task that estimates the state of objects in video sequences using diverse sensor inputs. It references survey papers and benchmarks such as WebUAV-3M and UniMod1K, covering both bimodal approaches and unified tracking models that generalize across modalities.