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KITTI tracking dataset
KITTI tracking dataset provides 21 training and 29 test sequences. The dataset provides 2D bounding box annotations for cars, pedestrians, and 6 other classes, but only the... -
Shapes and Shapes Rotation
The dataset used in the paper is a collection of sequences with patterns of different shapes and speeds, and a new dataset collected with the Baxter robot in a manipulation task... -
BDD100K MOTS
The BDD100K MOTS dataset is a subset of the BDD100K dataset, containing 154 videos with annotation for training and validation, and 37 videos for testing. -
Behave dataset
The Behave dataset contains various scenes with human-object interactions, and is used to evaluate the proposed object-level 3D semantic mapping approach. -
Track Anything Rapter (TAR)
The Track Anything Rapter (TAR) project utilizes state-of-the-art pre-trained models to accurately detect and track target objects through multimodal queries. -
CenterPoseTrack
CenterPoseTrack is a joint detection and tracking method for category-level 6-DoF pose estimation of previously unseen object instances. -
KITTI dataset
The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...