Zero Shot Object Detection On Ms Coco
Metrics
Recall
mAP
Results
Performance results of various models on this benchmark
Model Name | Recall | mAP | Paper Title | Repository |
|---|---|---|---|---|
| GRAN | 62.70 | 14.90 | From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot Detection | |
| SeeDS | 64 | 20.6 | SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection | - |
| BLC | 54.68 | 14.70 | Background Learnable Cascade for Zero-Shot Object Detection | - |
| ZSD-RRFS | 62.3 | 19.8 | Robust Region Feature Synthesizer for Zero-Shot Object Detection | - |
| ContrastZSD | 59.50 | 18.60 | Semantics-Guided Contrastive Network for Zero-Shot Object detection | - |
| SUZOD | 61.40 | 17.30 | Synthesizing the Unseen for Zero-shot Object Detection | - |
| ZSD-Polarity Loss | 43.56 | 12.62 | Polarity Loss for Zero-shot Object Detection | - |
| ZSD-SCR | 65.10 | 20.10 | Resolving Semantic Confusions for Improved Zero-Shot Detection | - |
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