paper-with-me

Pose Estimation 벤치마크

Pose Estimation on SALSA

12개 결과 · ⬇ CSV · JSON

Accuracy

74.7 79.28 83.85 88.42 93 2021-06 2026-11 SubdivNet — 93.0 (2021-06-04) MeshCNN (Hanocka et al., 2019) — 87.7 (2021-06-04) Pointnet++ (Qi et al., [2017b]) — 82.3 (2021-06-04) Pointnet (Qi et al., [2017a]) — 74.7 (2021-06-04) SubdivNet — 93.0 (2021-06-04) MeshCNN (Hanocka et al., 2019) — 87.7 (2021-06-04) Pointnet++ (Qi et al., [2017b]) — 82.3 (2021-06-04) Pointnet (Qi et al., [2017a]) — 74.7 (2021-06-04) SubdivNet — 93.0 (2021-06-04) MeshCNN (Hanocka et al., 2019) — 87.7 (2021-06-04) Pointnet++ (Qi et al., [2017b]) — 82.3 (2021-06-04) Pointnet (Qi et al., [2017a]) — 74.7 (2021-06-04) SubdivNet — 93.0 (2021-06-04)
RankModel Accuracy PaperCodeYear
1 SubdivNet 93 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
2 MeshCNN (Hanocka et al., 2019) 87.7 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
3 Pointnet++ (Qi et al., [2017b]) 82.3 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
4 Pointnet (Qi et al., [2017a]) 74.7 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
5 SubdivNet 93 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
6 MeshCNN (Hanocka et al., 2019) 87.7 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
7 Pointnet++ (Qi et al., [2017b]) 82.3 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
8 Pointnet (Qi et al., [2017a]) 74.7 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
9 SubdivNet 93 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
10 MeshCNN (Hanocka et al., 2019) 87.7 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
11 Pointnet++ (Qi et al., [2017b]) 82.3 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
12 Pointnet (Qi et al., [2017a]) 74.7 Subdivision-Based Mesh Convolution Networks lzhengning/SubdivNet 2021
1–12 / 12 페이지당 10 20 50 100