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Object Detection On Manga109 S 15Test
Metrics
COCO-style AP
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| YOLOX-L | 70.2 | USB: Universal-Scale Object Detection Benchmark | |
| UniverseNet-20.08 | 69.9 | USB: Universal-Scale Object Detection Benchmark | |
| UniverseNet | 68.9 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS+DyHead | 67.9 | USB: Universal-Scale Object Detection Benchmark | |
| Cascade R-CNN | 67.6 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS (ConvNeXt-T) | 67.4 | USB: Universal-Scale Object Detection Benchmark | |
| GFL | 67.3 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS+SEPC | 67.1 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS | 66.5 | USB: Universal-Scale Object Detection Benchmark | |
| ATSS (Swin-T) | 66.2 | USB: Universal-Scale Object Detection Benchmark | |
| Faster R-CNN | 65.8 | USB: Universal-Scale Object Detection Benchmark | |
| RetinaNet | 65.3 | USB: Universal-Scale Object Detection Benchmark | |
| Deformable DETR | 64.1 | USB: Universal-Scale Object Detection Benchmark | |
| Sparse R-CNN | 63.1 | USB: Universal-Scale Object Detection Benchmark | |
| DETR | 31.2 | USB: Universal-Scale Object Detection Benchmark |
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