Open-ended counting on HowMany-QA 1.0 (test)
60.3AccuracyRCN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| RCNregion_proposals=Faster R-CNN2018.10 | 60.3 | 2.35 | |
| IRLCregion_proposals=Faster R-CNN2018.10 | 56.1 | 2.45 | |
| Zhang et al.region_proposals=Faster R-CNN2018.10 | 54.7 | 2.59 | |
| MUTANbackbone=ResNet-1522018.10 | 45.5 | 2.93 | |
| DETECTbackbone=YOLOv22018.10 | 43.3 | 3.66 | |
| Q+Ibackbone=ResNet-152, architecture=MLP (1024 hidden units), modality=Image and Question2018.10 | 40.5 | 3.17 | |
| I-Onlybackbone=ResNet-152, architecture=MLP (1024 hidden units), modality=Image only2018.10 | 37.3 | 3.49 | |
| Q-Onlybackbone=RNN, architecture=MLP (1024 hidden units), modality=Question only2018.10 | 37.1 | 3.51 | |
| Guess-1description=Answer 1 for all questions2018.10 | 33.8 | 3.74 | |
| Guess-2description=Answer 2 for all questions2018.10 | 32.1 | 3.34 |