| Paper | Code | m-reIRMSE-nz | m-relRMSE | mRMSE | mRMSE-nz | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Object Counting and Instance Segmentation with Image-level Supervision | ✓ Link | 0.61 | 0.17 | 0.29 | 1.14 | Supervised Density Map | 2019-03-06 |
| Where are the Blobs: Counting by Localization with Point Supervision | ✓ Link | 0.61 | 0.17 | 0.31 | 1.20 | LC-ResFCN | 2018-07-25 |
| Counting Everyday Objects in Everyday Scenes | ✓ Link | 0.65 | 0.20 | 0.42 | 1.68 | ens | 2016-04-12 |
| Counting Everyday Objects in Everyday Scenes | ✓ Link | 0.68 | 0.22 | 0.43 | 1.65 | Seq-sub-ft-3x3 | 2016-04-12 |
| Where are the Blobs: Counting by Localization with Point Supervision | ✓ Link | 0.70 | 0.20 | 0.35 | 1.32 | LC-PSPNet | 2018-07-25 |
| Counting Everyday Objects in Everyday Scenes | ✓ Link | 0.73 | 0.27 | 0.50 | 1.83 | glance-noft-2L | 2016-04-12 |
| Counting Everyday Objects in Everyday Scenes | ✓ Link | 0.85 | 0.26 | 0.50 | 1.92 | Fast-RCNN | 2016-04-12 |
| OmniCount: Multi-label Object Counting with Semantic-Geometric Priors | 0.0023 | 0.009 | Omnicount | 2024-03-08 |