📊 Showing 5 results | 📏 Metric: mAP
| Rank | Model | Paper | mAP | Date | Code |
|---|---|---|---|---|---|
| 1 | BUCTD-CoAM-W48 (DLCRNet) | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | 99.10 | 2023-06-13 | 📦 amathislab/BUCTD |
| 2 | SuperAnimal HRNetw32 | SuperAnimal pretrained pose estimation models for behavioral analysis | 98.55 | 2022-03-14 | 📦 AlexEMG/DeepLabCut 📦 DeepLabCut/DeepLabCut 📦 adaptivemotorcontrollab/modelzoo-figures |
| 3 | DLCRNet | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | 95.80 | 2023-06-13 | 📦 amathislab/BUCTD |
| 4 | CID-W32 | Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity | 86.80 | 2023-06-13 | 📦 amathislab/BUCTD |
| 5 | zero-shot SuperAnimal HRNetw32 | SuperAnimal pretrained pose estimation models for behavioral analysis | 76.14 | 2022-03-14 | 📦 AlexEMG/DeepLabCut 📦 DeepLabCut/DeepLabCut 📦 adaptivemotorcontrollab/modelzoo-figures |