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Small Object Detection On Sod4Sb Private Test
Metrics
AP50
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Weighted Box Fusion (WBF) | 30.3 | Ensemble Fusion for Small Object Detection | - |
| GFL + Test Time Augmentation | 23.7 | BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation | |
| DL method (YOLOv8 + Ensamble) | 22.9 | MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results | |
| Swin Transformer + Hierarchical design | 22.6 | Small Object Detection for Birds with Swin Transformer | - |
| E2 method (Normalized Gaussian Wasserstein Distance + Switch Hard Augmentation + Multi scale train + Weight Moving Average + CenterNet + VarifocalNet) | 22.1 | MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results |
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