Instance Segmentation on PartNet 1.0 (test)
94.9mAP (Chair)detection-by-segmentation method
Evaluation results
| Method | Links | ||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| detection-by-segmentation methodSegmentation Level=coarse-grained, IoU threshold=0.52018.12 | 94.9 | 80.3 | 78.4 | 62.2 | 80.8 | 83.8 | 74.6 | 81.4 | 94.3 | 76.1 | 87.1 | 86.5 | 77.8 | 44.5 | 76.6 | 65 | 100 | 79.5 | 95.3 | 79 | 87.6 | 62.7 | 88.1 | 82.3 | 89 | — | — | — | |
| SGPNSegmentation Level=coarse-grained, IoU threshold=0.52018.12 | 91.5 | 72.5 | 62.8 | 38.7 | 76.7 | 83.2 | 41.5 | 81.4 | 91.3 | 71.2 | 81.4 | 82.2 | 71.9 | 23.2 | 78 | 60.3 | 100 | 76.2 | 94.3 | 60.6 | 74.9 | 55 | 80.1 | 76.1 | 87.1 | — | — | — | |
| PartNetLevel=Coarse2022.08 | 84.1 | 62.6 | 48.4 | 63.6 | 59.7 | 56.2 | 76.3 | 93.3 | 62.8 | 29 | 32.3 | 29.9 | 46.9 | 50.5 | 68.7 | 20 | — | 57.7 | 69.6 | 70.9 | 43.9 | 48.2 | 45.2 | 54.2 | 64.7 | — | — | 52.9 | |
| Probabilistic EmbeddingsGranularity Level=coarse (1), IoU threshold=0.52019.11 | 77.1 | 65.1 | 64.6 | 51.4 | 63.1 | 72 | 41.1 | 76.9 | — | 61.2 | 66.5 | 73.1 | 71.8 | 48.6 | 76.5 | 37.1 | 100 | 50.5 | 90.9 | 50.5 | — | 47.3 | 40.3 | 69 | 48.7 | — | — | — | |
| detection-by-segmentation methodSegmentation Level=coarse-grained (1), IoU threshold=0.52018.12 | 74.4 | 62.6 | 64.7 | 48.4 | 63.6 | 59.7 | 42.8 | 76.3 | 93.3 | 52.9 | 57.7 | 69.6 | 70.9 | 43.9 | 58.4 | 37.2 | 100 | 50 | 86 | 50 | 80.9 | 45.2 | 54.2 | 71.7 | 49.8 | — | — | — | |
| PartNetGranularity Level=coarse (1), IoU threshold=0.52019.11 | 74.4 | 62.6 | 64.7 | 48.4 | 63.6 | 59.7 | 42.8 | 76.3 | — | 52.9 | 57.7 | 69.6 | 70.9 | 43.9 | 58.4 | 37.2 | 100 | 50 | 86 | 50 | — | 45.2 | 54.2 | 71.7 | 49.8 | — | — | — | |
| detection-by-segmentation methodSegmentation Level=average, IoU threshold=0.52018.12 | 72.7 | 72.2 | 78.4 | 37.9 | 74.6 | 83.8 | 64.2 | 74.8 | 89.5 | 58.4 | 74.8 | 76.6 | 77.8 | 44.5 | 70.1 | 55.8 | 100 | 70.6 | 95.3 | 61.9 | 87.6 | 57.6 | 66.7 | 70.5 | 87.7 | — | — | — | |
| SGPNSegmentation Level=coarse-grained (1), IoU threshold=0.52018.12 | 72.4 | 55.7 | 38.8 | 29.8 | 61.9 | 56.9 | 20.3 | 72.2 | 89.3 | 49 | 57.8 | 63.2 | 68.7 | 20 | 63.2 | 32.7 | 100 | 50.6 | 82.2 | 50.6 | 71.7 | 32.9 | 49.2 | 56.8 | 46.6 | — | — | — | |
| SGPNGranularity Level=coarse (1), IoU threshold=0.52019.11 | 72.4 | 55.7 | 38.8 | 29.8 | 61.9 | 56.9 | 20.3 | 72.2 | — | 49 | 57.8 | 63.2 | 68.7 | 20 | 63.2 | 32.7 | 100 | 50.6 | 82.2 | 50.6 | — | 32.9 | 49.2 | 56.8 | 46.6 | — | — | — | |
| 3D-CG2022.07 | 68.5 | 56.9 | 47.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 71.2 | — | — | — | 40.5 | — | |
| detection-by-segmentation methodSegmentation Level=middle-grained, IoU threshold=0.52018.12 | 64.7 | 60.5 | — | 29.4 | — | — | — | 75.4 | — | 61.1 | — | — | — | — | — | 56.8 | — | 78.2 | — | 61.7 | — | 57.4 | 59.4 | — | — | — | — | — | |
| SGPNSegmentation Level=average, IoU threshold=0.52018.12 | 61.6 | 64.2 | 62.8 | 26.3 | 71.6 | 83.2 | 41.1 | 73.1 | 87.6 | 47.8 | 70.8 | 71.9 | 71.9 | 23.2 | 66.5 | 49 | 100 | 66.2 | 94.3 | 44.7 | 74.9 | 50.7 | 53.8 | 63 | 84.6 | — | — | — | |
| detection-by-segmentation methodSegmentation Level=fine-grained, IoU threshold=0.52018.12 | 58.4 | 57.7 | — | 22.1 | 68.3 | — | 53.7 | 67.5 | 84.8 | 38 | 62.4 | 66.8 | — | — | 63.5 | 45.8 | — | 54 | — | 45 | — | 52.6 | 52.5 | 58.7 | 86.4 | — | — | — | |
| BAELanguage-Mediated=false2022.07 | 53.3 | 39.9 | 39.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 32.2 | — | — | — | 34 | — | |
| Semantic segmentation-assisted instance feature fusionLevel=Coarse2022.08 | 51.2 | 71.2 | 54.1 | 66.9 | 84.2 | 54.1 | 79.9 | 97.2 | 76.8 | 71.6 | 79.2 | 77.3 | 47 | 58.3 | 38.2 | 100 | — | 91.8 | 57.4 | 86.8 | 56.4 | 65.3 | 79.7 | 53.8 | 80.5 | — | — | 62.5 | |
| SGPNSegmentation Level=middle-grained, IoU threshold=0.52018.12 | 51.1 | 50.2 | — | 22.7 | — | — | — | 78.7 | — | 43.3 | — | — | — | — | — | 49.1 | — | 68.6 | — | 42.9 | — | 51.9 | 43.7 | — | — | — | — | — | |
| Probabilistic EmbeddingsGranularity Level=Average, IoU threshold=0.52019.11 | 50.1 | 57.5 | 64.6 | 36.2 | 56.9 | 72 | 35.6 | 63.7 | — | 41.3 | 54.9 | 64.4 | 71.8 | 48.6 | 60.5 | 29.5 | 100 | 46.2 | 90.9 | 39.6 | — | 41.2 | 32.4 | 53.4 | 48.1 | — | — | — | |
| BAE+LLanguage-Mediated=true2022.07 | 50.1 | 42 | 34.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 47 | — | — | — | 36.6 | — | |
| detection-by-segmentation methodSegmentation Level=average over all object levels, IoU threshold=0.52018.12 | 46.3 | 54.4 | 64.7 | 28.8 | 56.1 | 59.7 | 37.5 | 64.1 | 86.7 | 36.6 | 48.5 | 57.1 | 70.9 | 43.9 | 52.1 | 27.6 | 100 | 44.2 | 86 | 37.2 | 80.9 | 35.9 | 36.4 | 52.7 | 50.9 | — | — | — | |
| PartNetGranularity Level=Average, IoU threshold=0.52019.11 | 46.3 | 54.4 | 64.7 | 28.8 | 56.1 | 59.7 | 37.6 | 64.1 | — | 36.6 | 48.6 | 57.2 | 70.9 | 43.9 | 52.1 | 27.6 | 100 | 44.2 | 86 | 37.2 | — | 35.9 | 36.4 | 52.7 | 50.9 | — | — | — | |
| Semantic segmentation-assisted instance feature fusionLevel=Avg2022.08 | 44.2 | 64.1 | 46.8 | 61.4 | 84.2 | 56 | 69.9 | 92.3 | 56.7 | 62.7 | 69.2 | 77.3 | 47 | 58.3 | 30.3 | 100 | — | 91.8 | 49.9 | 86.8 | 51.2 | 43.5 | 65.5 | 54.2 | 80.5 | — | — | 58.2 | |
| CVXLanguage-Mediated=false2022.07 | 44.1 | 34.6 | 31.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 40.6 | — | — | — | 22.5 | — | |
| CVX+LLanguage-Mediated=true2022.07 | 42.6 | 38.9 | 41.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 51.2 | — | — | — | 20.4 | — | |
| SGPNSegmentation Level=fine-grained, IoU threshold=0.52018.12 | 42.3 | 50.2 | — | 17.5 | 66.5 | — | 40.7 | 59.3 | 83.9 | 29 | 60.2 | 61.6 | — | — | 55 | 37.6 | — | 53.7 | — | 30.6 | — | 45.1 | 37.8 | 50 | 82 | — | — | — | |
| PELevel=Coarse2022.08 | 41.1 | 65.1 | 51.4 | 63.1 | 72 | 77.1 | 76.9 | 95.3 | 61.2 | 66.5 | 73.1 | 71.8 | 48.6 | 76.5 | 37.1 | 100 | — | 90.9 | 50.5 | 88.6 | 47.3 | 40.3 | 69 | 48.7 | 64.6 | — | — | 50.5 | |
| SGPNSegmentation Level=average over all object levels, IoU threshold=0.52018.12 | 39.1 | 46.8 | 38.8 | 19 | 53.5 | 56.9 | 19.3 | 56.2 | 84 | 29.9 | 46.9 | 50.5 | 68.7 | 20 | 50.7 | 22.9 | 100 | 44.2 | 82.2 | 30.3 | 71.7 | 28.3 | 27.5 | 40.9 | 41.6 | — | — | — | |
| SGPNGranularity Level=Average, IoU threshold=0.52019.11 | 39.1 | 46.8 | 38.8 | 19 | 53.5 | 56.9 | 19.3 | 56.2 | — | 29.9 | 46.9 | 50.5 | 68.7 | 20 | 50.8 | 22.9 | 100 | 44.2 | 82.2 | 30.3 | — | 28.3 | 27.6 | 40.9 | 41.6 | — | — | — | |
| Probabilistic EmbeddingsGranularity Level=middle (2), IoU threshold=0.52019.11 | 38.6 | 40.4 | — | 31 | — | — | — | 64.2 | — | 36.9 | — | — | — | — | — | 31 | — | 51.2 | — | 37.3 | — | 42 | 31.5 | — | — | — | — | — | |
| Semantic segmentation-assisted instance feature fusionLevel=Fine2022.08 | 38.2 | 47.8 | 40.9 | 55.9 | — | 58.1 | 37.1 | 86.5 | 87.4 | 41.3 | 53.7 | 59.1 | — | — | — | 88.8 | — | — | 49.7 | — | 44.1 | — | 51.3 | 54.6 | — | — | — | 21.7 | |
| PartNetLevel=Avg2022.08 | 37.6 | 54.4 | 28.8 | 56.1 | 59.7 | 46.3 | 64.1 | 86.7 | 36.6 | 48.6 | 57.2 | 70.9 | 43.9 | 58.4 | 37.2 | 100 | — | 86 | 50 | 80.9 | 35.9 | 36.4 | 52.7 | 50.9 | 64.7 | — | — | 50 | |
| PELevel=Avg2022.08 | 35.6 | 57.5 | 36.2 | 56.9 | 72 | 50.1 | 63.7 | 88.7 | 41.3 | 54.9 | 64.4 | 71.8 | 48.6 | 60.5 | 29.5 | 100 | — | 90.9 | 39.6 | 88.6 | 41.2 | 32.4 | 53.4 | 48.1 | 64.6 | — | — | 46.2 | |
| detection-by-segmentation methodSegmentation Level=middle-grained (2), IoU threshold=0.52018.12 | 35.5 | 37.4 | — | 23 | — | — | — | 62.8 | — | 39.7 | — | — | — | — | 26.9 | — | — | 47.8 | — | 35.2 | — | 35 | 31 | — | — | — | — | — | |
| PartNetGranularity Level=middle (2), IoU threshold=0.52019.11 | 35.5 | 37.4 | — | 23 | — | — | — | 62.8 | — | 39.7 | — | — | — | — | — | 26.9 | — | 47.8 | — | 35.2 | — | 35 | 31 | — | — | — | — | — | |
| Probabilistic EmbeddingsGranularity Level=fine (3), IoU threshold=0.52019.11 | 34.7 | 39.8 | — | 26.2 | 50.7 | — | 30.2 | 50 | — | 25.7 | 43.2 | 55.6 | — | — | 44.4 | 20.3 | — | 37 | — | 31.1 | — | 34.2 | 25.5 | 37.7 | 47.6 | — | — | — | |
| detection-by-segmentation methodSegmentation Level=fine-grained (3), IoU threshold=0.52018.12 | 29 | 36.6 | — | 15 | 48.6 | — | 32.3 | 53.3 | 80.1 | 17.2 | 39.4 | 44.7 | 45.8 | 18.7 | — | 45.8 | 18.7 | — | 34.8 | 26.5 | — | 27.5 | 23.9 | 33.7 | 52 | — | — | — | |
| PartNetGranularity Level=fine (3), IoU threshold=0.52019.11 | 29 | 36.6 | — | 15 | 48.6 | — | 32.3 | 53.3 | — | 17.2 | 39.4 | 44.7 | — | — | 45.8 | 18.7 | — | 34.8 | — | 26.5 | — | 27.5 | 23.9 | 33.7 | 52 | — | — | — | |
| GSPN2018.12 | 26.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 18.3 | — | — | — | — | — | 26.7 | 21.9 | — | — | — | — | — | |
| SGPNSegmentation Level=middle-grained (2), IoU threshold=0.52018.12 | 25.4 | 29.7 | — | 15.4 | — | — | — | 58.1 | — | 25.4 | — | — | — | — | 21.7 | — | — | 49.4 | — | 22.1 | — | 30.5 | 18.9 | — | — | — | — | — | |
| SGPNGranularity Level=middle (2), IoU threshold=0.52019.11 | 25.4 | 29.7 | — | 15.4 | — | — | — | 58.1 | — | 25.4 | — | — | — | — | — | 21.7 | — | 49.4 | — | 22.1 | — | 30.5 | 18.9 | — | — | — | — | — | |
| SGPNLevel=Coarse2022.08 | 20.3 | 55.7 | 29.8 | 61.9 | 56.9 | 72.4 | 72.2 | 89.3 | 49 | 57.8 | 63.2 | 68.7 | 20 | 63.2 | 32.7 | 100 | — | 82.2 | 50.6 | 71.7 | 32.9 | 49.2 | 56.8 | 46.6 | 38.8 | — | — | 50.6 | |
| SGPNSegmentation Level=fine-grained (3), IoU threshold=0.52018.12 | 19.4 | 29.5 | — | 11.8 | 45.1 | — | 18.2 | 38.3 | 78.8 | 15.4 | 35.9 | 37.8 | 38.3 | 14.4 | — | 38.3 | 14.4 | — | 32.7 | 18.2 | — | 21.5 | 14.6 | 24.9 | 36.5 | — | — | — | |
| SGPN2018.12 | 19.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 14.4 | — | — | — | — | — | 21.5 | 14.6 | — | — | — | — | — | |
| SGPNGranularity Level=fine (3), IoU threshold=0.52019.11 | 19.4 | 29.5 | — | 11.8 | 45.1 | — | 18.2 | 38.3 | — | 78.8 | 15.4 | 35.9 | 37.8 | — | 38.3 | 14.4 | — | 32.7 | — | 18.2 | — | 21.5 | 14.6 | 24.9 | 36.5 | — | — | — | |
| SGPNLevel=Avg2022.08 | 19.3 | 46.8 | 19 | 53.5 | 56.9 | 39.1 | 74.4 | 42.8 | 35.5 | 30.9 | 48.8 | 21.7 | 25.4 | 31 | 44.4 | 20.3 | — | 49.7 | 30.5 | 18.9 | 21.5 | 14.6 | 24.9 | 36.5 | 38.8 | — | — | 62.5 | |
| Semantic segmentation-assisted instance feature fusionLevel=Middle2022.08 | — | 49.7 | — | — | 45.5 | — | 45.7 | — | — | 73.2 | — | — | 52 | — | — | — | — | — | 44.1 | — | 53.3 | 36.2 | — | — | — | — | — | 48.2 |