HyperAIHyperAI초신경
홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
전체 검색
소개
한국어
HyperAIHyperAI초신경
  1. 홈
  2. SOTA
  3. 6차원 자세 추정 RGBD 사용
  4. 6D Pose Estimation Using Rgbd On Ycb Video

6D Pose Estimation Using Rgbd On Ycb Video

평가 지표

Mean ADD

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Mean ADD
Paper TitleRepository
PoseCNN (ICP)79.3PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
RCVPose-Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
MaskedFusion93.3MaskedFusion: Mask-based 6D Object Pose Estimation
CMCL6D95.43Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal Integration-
PVN3D-PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
PoseCNN + DeepIM80.6DeepIM: Deep Iterative Matching for 6D Pose Estimation
RCVPose+ICP-Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
ALL PoseCNN+ICP-PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
0 of 8 row(s) selected.
HyperAI

학습, 이해, 실천, 커뮤니티와 함께 인공지능의 미래를 구축하다

한국어

소개

회사 소개데이터셋 도움말

제품

뉴스튜토리얼데이터셋백과사전

링크

TVM 한국어Apache TVMOpenBayes

© HyperAI초신경

TwitterBilibili