Object Counting
The goal of Object Counting task is to count the number of object instances in a single image or video sequence. It has many real-world applications such as traffic flow monitoring, crowdedness estimation, and product counting.
Source: Learning to Count Objects with Few Exemplar Annotations
Papers
Showing 61–70 of 158 papers
All datasetsFSC147CARPKPascal VOC 2007 count-testCOCO count-testTallyQA-ComplexTallyQA-SimpleHowMany-QAPASCAL VOCOmnicount-191TRANCOS
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | FamNet | MAE(test) | 22.08 | — | Unverified |
| 2 | Omnicount (Open vocabulary, multi-label, without training) | MAE(test) | 18.63 | — | Unverified |
| 3 | RCC | MAE(test) | 17.12 | — | Unverified |
| 4 | Counting-DETR | MAE(test) | 16.79 | — | Unverified |
| 5 | CounTX (uses text descriptions instead of visual exemplars) | MAE(test) | 15.88 | — | Unverified |
| 6 | LaoNet | MAE(test) | 15.78 | — | Unverified |
| 7 | BMNet+ | MAE(test) | 14.62 | — | Unverified |
| 8 | SAFECount | MAE(test) | 14.32 | — | Unverified |
| 9 | GCA-SUN | MAE(test) | 14 | — | Unverified |
| 10 | SPDCN | MAE(test) | 13.51 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | YOLO (2016) | MAE | 156 | — | Unverified |
| 2 | YOLO9000opt (2017) | MAE | 130.4 | — | Unverified |
| 3 | Faster R-CNN (2015) | MAE | 39.88 | — | Unverified |
| 4 | RetinaNet (2018) | MAE | 24.58 | — | Unverified |
| 5 | LPN Counting (2017) | MAE | 22.76 | — | Unverified |
| 6 | One-Look Regression (2016) | MAE | 21.88 | — | Unverified |
| 7 | RetinaNet (2018) | MAE | 16.62 | — | Unverified |
| 8 | CounTX (uses arbitrary text input to specify object to count, used "the cars" for CARPK) | MAE | 8.13 | — | Unverified |
| 9 | Soft-IoU + EM-Merger unit | MAE | 6.77 | — | Unverified |
| 10 | VLCounter | MAE | 6.46 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Fast-RCNN | m-reIRMSE-nz | 0.85 | — | Unverified |
| 2 | glance-noft-2L | m-reIRMSE-nz | 0.73 | — | Unverified |
| 3 | LC-PSPNet | m-reIRMSE-nz | 0.7 | — | Unverified |
| 4 | Seq-sub-ft-3x3 | m-reIRMSE-nz | 0.68 | — | Unverified |
| 5 | ens | m-reIRMSE-nz | 0.65 | — | Unverified |
| 6 | Supervised Density Map | m-reIRMSE-nz | 0.61 | — | Unverified |
| 7 | LC-ResFCN | m-reIRMSE-nz | 0.61 | — | Unverified |
| 8 | Omnicount | mRMSE | 0 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Aso-sub-ft-3x3 | m-reIRMSE | 0.24 | — | Unverified |
| 2 | glance-ft-2L | m-reIRMSE | 0.23 | — | Unverified |
| 3 | Fast-RCNN | m-reIRMSE | 0.2 | — | Unverified |
| 4 | LC-ResFCN | m-reIRMSE | 0.19 | — | Unverified |
| 5 | Seq-sub-ft-3x3 | m-reIRMSE | 0.18 | — | Unverified |
| 6 | Supervised Density Map | m-reIRMSE | 0.18 | — | Unverified |
| 7 | ens | m-reIRMSE | 0.18 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SMoLA-PaLI-X Specialist | Accuracy | 77.1 | — | Unverified |
| 2 | PaLI-X-VPD | Accuracy | 76.6 | — | Unverified |
| 3 | SMoLA-PaLI-X Generalist (0 shot) | Accuracy | 70.7 | — | Unverified |
| 4 | MoVie-ResNeXt | Accuracy | 56.8 | — | Unverified |
| 5 | RCN | Accuracy | 56.2 | — | Unverified |
| 6 | MoVie | Accuracy | 54.1 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SMoLA-PaLI-X Specialist | Accuracy | 86.3 | — | Unverified |
| 2 | PaLI-X-VPD | Accuracy | 86.2 | — | Unverified |
| 3 | SMoLA-PaLI-X Generalist (0 shot) | Accuracy | 83.3 | — | Unverified |
| 4 | MoVie-ResNeXt | Accuracy | 74.9 | — | Unverified |
| 5 | RCN | Accuracy | 71.8 | — | Unverified |
| 6 | MoVie | Accuracy | 70.8 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | MoVie-ResNeXt | Accuracy | 64 | — | Unverified |
| 2 | MoVie | Accuracy | 61.2 | — | Unverified |
| 3 | RCN | Accuracy | 60.3 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Omnicount | mRMSE | 0 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | GauNet (ResNet-50) | MAE | 2.1 | — | Unverified |