arXiv:2111.08614
공식 코드 · Papers with Code
IKEA Object State Dataset: A 6DoF object pose estimation dataset and benchmark for multi-state assembly objects
원문 초록
Utilizing 6DoF(Degrees of Freedom) pose information of an object and its components is critical for object state detection tasks. We present IKEA Object State Dataset, a new dataset that contains IKEA furniture 3D models, RGBD video of the assembly process, the 6DoF pose of furniture parts and their bounding box. The proposed dataset will be available at https://github.com/mxllmx/IKEAObjectStateDataset.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception
RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking
LMPNet for Weakly-supervised Keypoint Discovery
Deterministic Object Pose Confidence Region Estimation
JENGA: Object selection and pose estimation for robotic grasping from a stack
ViTaSCOPE: Visuo-tactile Implicit Representation for In-hand Pose and Extrinsic Contact Estimation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.