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아카이브 평가 22건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
RNNPose	Accuracy (ADD) 97.37% Mean ADD 97.37	RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization 2022-03-24	코드 1
EfficientPose	Accuracy (ADD) 97.35% Mean ADD 97.35	EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach 2020-11-09	코드 1 · 코드 2 · 코드 3
YOLOv5-6D	Accuracy (ADD) 96.84% Mean ADD 96.84	YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries 2024-03-22	코드 1
EPro-PnP-6DoF v2	Mean ADD 96.36	EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation 2023-03-22	코드 1 · 코드 2
RePOSE	Accuracy (ADD) 96.1% Mean ADD 96.1	RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering 2021-04-01	코드 1
EPro-PnP-6DoF v1	Mean ADD 95.8	EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation 2022-03-24	코드 1
ROPE	Accuracy (ADD) 95.61% Mean ADD 95.61	Occlusion-Robust Object Pose Estimation with Holistic Representation 2021-10-22	코드 1
DPOD	Accuracy (ADD) 95.15% Mean ADD 95.2	DPOD: 6D Pose Object Detector and Refiner 2019-02-28	코드 1 · 코드 2
HRNet (DSNT + BPnP)	Mean ADD 93.3	End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization 2019-09-13	코드 1 · 코드 2
HybridPose	Accuracy (ADD) 94.5% Mean ADD 91.3	HybridPose: 6D Object Pose Estimation under Hybrid Representations 2020-01-07	코드 1 · 코드 2 · 코드 3
CDPN	Accuracy 98.1% Accuracy (ADD) 89.86% Mean ADD 89.86	CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation 2019-10-01	연결 없음
PoseCNN + DeepIM	Accuracy 97.5 Accuracy (ADD) 88.1% Mean ADD 88.6	DeepIM: Deep Iterative Matching for 6D Pose Estimation 2018-03-31	코드 1 · 코드 2
E2E6DoF	Mean ADD 86.8	End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints 2020-11-22	연결 없음
PVNet	Accuracy 99% Accuracy (ADD) 86.27% Mean ADD 86.27	PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation 2018-12-31	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
CullNet	Accuracy 97.7% Accuracy (ADD) 78.3% Mean ADD 78.3	CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation 2019-09-30	코드 1
SSD-6D	Mean ADD 76.3 Mean IoU 99.4	SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again 2017-11-27	코드 1
Keypoint Detector Localization	Accuracy 94.5% Mean ADD 72.6	Estimating 6D Pose From Localizing Designated Surface Keypoints 2018-12-04	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6
Single-shot Deep CNN	Accuracy 90.37% Mean ADD 55.95 Mean IoU 99.92	Real-Time Seamless Single Shot 6D Object Pose Prediction 2017-11-24	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
BB8	Accuracy 83.9% Accuracy (ADD) 43.6% Mean ADD 43.6	BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth 2017-03-31	코드 1 · 코드 2
Pix2Pose	Mean ADD 32	Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation 2019-08-20	코드 1 · 코드 2 · 코드 3
Augmented Autoencoder	Mean ADD 28.7	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images 2019-02-04	코드 1
HRNet+DSNT+BPnP	Accuracy 99.21% Accuracy (ADD) 93.27%	End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization 2019-09-13	코드 1 · 코드 2