Zero Shot Object Detection On Mscoco
Metrics
AP
Results
Performance results of various models on this benchmark
Model Name | AP | Paper Title | Repository |
|---|---|---|---|
| Object-Centric-OVD | 40.5 | Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection | - |
| Grounding DINO-L (without COCO data) | 52.5 | Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection | - |
| OV-DINO-T (without COCO data) | 50.6 | OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion | - |
| CP-DETR-Pro((without COCO data)) | 55.4 | CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection | - |
| Grounding DINO 1.5 Pro (without COCO data) | 54.3 | Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection | - |
| YOLO-World-L(without COCO data) | 45.1 | YOLO-World: Real-Time Open-Vocabulary Object Detection | - |
| Grounding DINO 1.6 Pro (without COCO data) | 55.4 | Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection | - |
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