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Zero-Shot Object Detection
PyTorch
computer-vision
anomaly-detection
foundation-models
zero-shot
training-free
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Updated table with extra rules cleaned

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  ## Summary Table
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  | Category | K-shots | F1-Max (Image) | AUROC (Image) | F1-Max (Logical) | AUROC (Logical) | F1-Max (Structural) | AUROC (Structural) |
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- |----------|---------|----------------|---------------|------------------|-----------------|---------------------|-------------------|
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  | ---------- | --------- | ---------------- | --------------- | ------------------ | ----------------- | --------------------- | ------------------- |
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  | breakfast_box | 4 | 89.91 | 94.36 | 92.41 | 97.08 | 85.03 | 91.85 |
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  | juice_bottle | 4 | 88.16 | 84.26 | 83.54 | 85.46 | 77.31 | 82.46 |
 
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  ## Summary Table
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  | Category | K-shots | F1-Max (Image) | AUROC (Image) | F1-Max (Logical) | AUROC (Logical) | F1-Max (Structural) | AUROC (Structural) |
 
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  | ---------- | --------- | ---------------- | --------------- | ------------------ | ----------------- | --------------------- | ------------------- |
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  | breakfast_box | 4 | 89.91 | 94.36 | 92.41 | 97.08 | 85.03 | 91.85 |
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  | juice_bottle | 4 | 88.16 | 84.26 | 83.54 | 85.46 | 77.31 | 82.46 |