Table 1 Comparison of object detection algorithms
From: Human figure detection in Han portrait stone images via enhanced YOLO-v5
Refs. | Advantages | Disadvantages |
|---|---|---|
[5] | Improves detection accuracy | Low efficiency, not for real-time |
[10] | Faster than R-CNN | Requires separate region proposal |
[11] | Near real-time proposals, high accuracy | Slower than single-stage methods |
[7] | High-speed, suitable for real-time | Lower accuracy for small objects |
[6] | Balances speed and accuracy | Less accurate in complex scenes |
[12] | Innovative, improves accuracy | Complex, slow inference |
[14] | Efficient, adaptable to sizes | Requires effective region proposal |
[15] | Excellent in multi-scale detection | Complex, high resource needs |
[16] | Increases speed and accuracy | Room for improvement in complex scenes |
[17] | Efficient, balances speed and accuracy | May require tuning for specific scenarios |