| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Hopkins 155 (all sequences) | Subset | Mean Clustering Error0.31 | 45 | 4d ago | |
| Hopkins 155 3-motion sequences | Subset | Mean Clustering Error (%)0.58 | 45 | 4d ago | |
| Hopkins 155 2-motion sequences | Subset | Classification Error0.0023 | 31 | 4d ago | |
| Hopkins 12 | Coreg | Avg Classification Error0.06 | 20 | 4d ago | |
| D-RE10K | WildRayZer | mIoU54.2 | 11 | 4d ago | |
| KT3DMoSeg | Avg Classification Error7.92 | 11 | 4d ago | ||
| MTPV62 (All) | Classification Error0.65 | 11 | 4d ago | ||
| MTPV62 (Hopkins (50 clips)) | Classification Error0.65 | 11 | 4d ago | ||
| MTPV62 (Missing Data (12 clips)) | Classification Error0.3 | 10 | 4d ago | ||
| MTPV62 Perspective (9 clips) | Subset | Classification Error0.002 | 10 | 4d ago | |
| FBMS59 (val) | COSNet | J-measure75.6 | 9 | 4d ago | |
| Hopkins Motions 155 scenes | Proposed | Avg Misclassification Error4.4 | 8 | 4d ago | |
| FBMS-59 (train) | F-Measure0.8018 | 8 | 4d ago | ||
| MoCA | J Index64.2 | 6 | 4d ago | ||
| Indoor Dataset Bears sequence 1.0 (test) | Error Rate2.72 | 6 | 4d ago | ||
| Indoor Dataset Bag sequence 1.0 (test) | MODE | Misclassification Error (%)1.52 | 6 | 4d ago | |
| Indoor Dataset Pencils sequence 1.0 (test) | Misclassification Error0.023 | 6 | 4d ago | ||
| Indoor Dataset Flowers sequence 1.0 (test) | MODE | Error (%)1.23 | 6 | 4d ago | |
| Indoor Dataset Penguin sequence 1.0 (test) | MODE | Misclassification Error0.0076 | 6 | 4d ago | |
| KITTI 2015 (test) | RM-Depth | Overall IoU72.12 | 5 | 4d ago | |
| KITTI 2015 (train) | EPC++ | Pixel Accuracy91 | 5 | 4d ago | |
| cars8 | StableSfM + Subset [58] | Classified Points Rate99.61 | 3 | 4d ago | |
| cars7 | StableSfM + Subset [58] | Classified Points99.66 | 3 | 4d ago | |
| boat | StableSfM + Subset [58] | Classified Points (%)99.62 | 3 | 4d ago | |
| helicopter | Misclassification Error (%)0.78 | 3 | 4d ago |
