Object Tracking
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Benchmarks
COESOT
QuadTrack
FE108
SeaDronesSee
BIRDSAI - ICVGIP 2020
KITTI
MMPTRACK
1
Perception Test
VisEvent
Most implemented
Simple Online and Realtime Tracking with a Deep Association Metric
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
StrongSORT: Make DeepSORT Great Again
Center-based 3D Object Detection and Tracking
Tracking without bells and whistles
Towards Real-Time Multi-Object Tracking
Papers
PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control
Interactive control for video generation is moving from coarse prompts toward fine-grained, physically meaningful manipulation of dynamic scenes. Yet existing controllable methods either require the full control schedule…
Video GenerationObject TrackingMAETrack: Unleashing the Potential of Pretrained Geometric Priors for 3D Single Object Tracking
Large-scale pre-training has transformed representation learning in 2D vision, yet its transferability to 3D single object tracking (SOT) remains insufficiently understood. Directly fine-tuning self-supervised 3D encoder…
Representation Learning3D ReconstructionObject TrackingSAVTrack: Selective Vote Aggregation for Reliability-Aware Point Cloud Tracking
3D single object tracking (SOT) in LiDAR point clouds is essential for autonomous systems, but remains challenging under sparse and incomplete observations. In such cases, different target points provide highly uneven co…
Object TrackingPoint CloudsAdROD: HyperNetwork-based Adversarially Robust Object Detection for Autonomous Driving
Camera-based object detectors are vulnerable to physical adversarial attacks designed to suppress detections. While adversarial training and input purification offer some protection, they often overfit to specific attack…
Robust Object DetectionAdversarial RobustnessAutonomous DrivingObject TrackingSemantic-Aware Temporal Adaptation for UAV Anti-UAV Tracking
UAV Anti-UAV tracking is an emerging low-altitude security task for localizing an adversarial UAV using the onboard camera of a moving observer UAV. It differs from conventional UAV tracking and ground-based Anti-UAV tra…
Object TrackingAnticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter
Safe quadrotor navigation in cluttered and dynamic environments depends not only on instantaneous geometric perception, but more critically on anticipating collision risks induced by relative motion. Conventional modular…
Optical Flow EstimationReinforcement LearningObject Tracking