Open Vocabulary Attribute Detection On Ovad 1
Metrics
mean average precision
Results
Performance results of various models on this benchmark
Model Name | mean average precision | Paper Title | Repository |
|---|---|---|---|
| X-VLM | 28.0 | Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts | - |
| CLIP VIT-B16 | 16.6 | Learning Transferable Visual Models From Natural Language Supervision | - |
| BLIP | 24.3 | BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation | - |
| Open CLIP ViT-B32 | 17.0 | Reproducible scaling laws for contrastive language-image learning | - |
| OVAD-Baseline-Box | 21.4 | Open-vocabulary Attribute Detection | - |
| BLIP 2 (pretrained) | 25.5 | BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models | - |
| ALBEF | 21.0 | Align before Fuse: Vision and Language Representation Learning with Momentum Distillation | - |
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