paper-with-me

Keypoint Detection 벤치마크

Keypoint Detection on Pascal3D+

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Mean PCK

48.5 57 65.5 74 82.5 2014-11 2026-11 ConvNet — 48.5 (2014-11-04) ConvNet — 48.5 (2014-11-04) ConvNet — 48.5 (2014-11-04) CNN + viewpoint estimates — 68.8 (2014-11-22) CNN + viewpoint estimates — 68.8 (2014-11-22) CNN + viewpoint estimates — 68.8 (2014-11-22) ConvNet + deformable shape model — 82.5 (2017-03-14) ConvNet + deformable shape model — 82.5 (2017-03-14) ConvNet + deformable shape model — 82.5 (2017-03-14) StarMap — 78.6 (2018-03-25) StarMap — 78.6 (2018-03-25) StarMap — 78.6 (2018-03-25) ConvNet — 48.5 (2014-11-04) CNN + viewpoint estimates — 68.8 (2014-11-22) ConvNet + deformable shape model — 82.5 (2017-03-14)
RankModel Mean PCK PaperCodeYear
1 ConvNet + deformable shape model 82.5 6-DoF Object Pose from Semantic Keypoints geopavlakos/object3d 2017
2 StarMap 78.6 StarMap for Category-Agnostic Keypoint and Viewpoint Estimation xingyizhou/StarMap 2018
3 CNN + viewpoint estimates 68.8 Viewpoints and Keypoints 2014
4 ConvNet 48.5 Do Convnets Learn Correspondence? 2014
5 ConvNet + deformable shape model 82.5 6-DoF Object Pose from Semantic Keypoints geopavlakos/object3d 2017
6 StarMap 78.6 StarMap for Category-Agnostic Keypoint and Viewpoint Estimation xingyizhou/StarMap 2018
7 CNN + viewpoint estimates 68.8 Viewpoints and Keypoints 2014
8 ConvNet 48.5 Do Convnets Learn Correspondence? 2014
9 ConvNet + deformable shape model 82.5 6-DoF Object Pose from Semantic Keypoints geopavlakos/object3d 2017
10 StarMap 78.6 StarMap for Category-Agnostic Keypoint and Viewpoint Estimation xingyizhou/StarMap 2018
11 CNN + viewpoint estimates 68.8 Viewpoints and Keypoints 2014
12 ConvNet 48.5 Do Convnets Learn Correspondence? 2014
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