SOTAVerified

Open Vocabulary Object Detection

Open-vocabulary detection (OVD) aims to generalize beyond the limited number of base classes labeled during the training phase. The goal is to detect novel classes defined by an unbounded (open) vocabulary at inference.

Papers

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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Cooperative Foundational ModelsAP 0.550.3Unverified
2DE-ViTAP 0.550Unverified
3Yolov8-nanoAP 0.547.2Unverified
4DITOAP 0.546.1Unverified
5OV-DQUO(RN50x4)AP 0.545.6Unverified
6LP-OVOD (OWL-ViT Proposals)AP 0.544.9Unverified
7CLIPSelfAP 0.544.3Unverified
8CORA+AP 0.543.1Unverified
9BARONAP 0.542.7Unverified
10SIA-OVD (RN50x4)AP 0.541.9Unverified
#ModelMetricClaimedVerifiedStatus
1LaMI-DETRAP novel-LVIS base training43.4Unverified
2DITOAP novel-LVIS base training40.4Unverified
3OV-DQUO(ViT-L/14)AP novel-LVIS base training39.3Unverified
4CoDet (EVA02-L)AP novel-LVIS base training37Unverified
5CLIPSelfAP novel-LVIS base training34.9Unverified
6OVMRAP novel-LVIS base training34.4Unverified
7DE-ViTAP novel-LVIS base training34.3Unverified
8CFM-ViTAP novel-LVIS base training33.9Unverified
9CLIM (RN50x64)AP novel-LVIS base training32.3Unverified
10RO-ViTAP novel-LVIS base training32.1Unverified
#ModelMetricClaimedVerifiedStatus
1Object-Centric-OVDmask AP5022.3Unverified
2ViLDmask AP5018.2Unverified
#ModelMetricClaimedVerifiedStatus
1Object-Centric-OVDmask AP5042.9Unverified
2Deticmask AP5042.2Unverified