KITTI MOTS

The KITTI MOTS dataset is a benchmark that contains annotated sequences for multi-object tracking and segmentation, used to evaluate the performance of algorithms in monocular distance estimation and object tracking.

Papers using KITTI MOTS (2)

DMODE: Differential Monocular Object Distance Estimation Module Without Class Specific Information2022 · 2 citesSeg2Track++: Probabilistic Track Validation and Data Association for Multi-Object Tracking and Segmentation2026