Object Detection on MSAR AP'07 protocol (test)
69.9mAPDenoDet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| DenoDetPre-training=IN, #P=34.23M, FLOPS=12.89G, Stage=End2end2024.06 | 69.9 | 89.4 | 47.87 | 78.92 | 63.41 | |
| AutoAssignPre-training=IN, #P=36.25M, FLOPS=12.95G, Stage=One-stage2024.06 | 69.41 | 89.71 | 45.41 | 79.08 | 63.44 | |
| YOLOXPre-training=IN, #P=8.94M, FLOPS=2.13G, Stage=One-stage2024.06 | 68.4 | 89.89 | 63.49 | 61.46 | 58.74 | |
| ATSSPre-training=IN, #P=32.12M, FLOPS=12.89G, Stage=One-stage2024.06 | 68 | 88.85 | 44.06 | 75.73 | 63.37 | |
| FCOSPre-training=IN, #P=32.12M, FLOPS=12.89G, Stage=One-stage2024.06 | 67.52 | 89.17 | 43.72 | 73.92 | 63.28 | |
| GFLPre-training=IN, #P=32.27M, FLOPS=13.08G, Stage=One-stage2024.06 | 67.24 | 89.21 | 42.16 | 74.05 | 63.54 | |
| CenterNetPre-training=IN, #P=32.12M, FLOPS=12.88G, Stage=One-stage2024.06 | 67.18 | 89.87 | 41.05 | 74.91 | 62.92 | |
| TOODPre-training=IN, #P=32.03M, FLOPS=12.62G, Stage=One-stage2024.06 | 66.58 | 89.04 | 42.78 | 71 | 63.49 | |
| VFNetPre-training=IN, #P=32.72M, FLOPS=12.09G, Stage=One-stage2024.06 | 65.31 | 87.94 | 38.8 | 71.03 | 63.49 | |
| Deformable DETRPre-training=IN, #P=40.10M, FLOPS=14.62G, Stage=End2end2024.06 | 65.02 | 89.96 | 32.99 | 70.28 | 66.83 | |
| PAAPre-training=IN, #P=32.12M, FLOPS=12.89G, Stage=One-stage2024.06 | 63.37 | 90.29 | 22.63 | 77.01 | 63.55 | |
| DDODPre-training=IN, #P=32.27M, FLOPS=29.02G, Stage=One-stage2024.06 | 60.8 | 86.59 | 63.16 | 71.42 | 22.04 | |
| LSKNetPre-training=IN, #P=30.98M, FLOPS=22.52G, Stage=Two-stage2024.06 | 58.13 | 81.31 | 63.61 | 78.51 | 9.09 | |
| ConvNeXtPre-training=IN, #P=45.06M, FLOPS=26.39G, Stage=Two-stage2024.06 | 56.52 | 81.34 | 63.57 | 72.07 | 9.09 | |
| ConvNeXt V2Pre-training=IN, #P=105.00M, FLOPS=40.71G, Stage=Two-stage2024.06 | 56.38 | 81.36 | 63.59 | 71.48 | 9.09 | |
| Grid RCNNPre-training=IN, #P=64.47M, FLOPS=0.14T, Stage=Two-stage2024.06 | 55.82 | 80.85 | 9.09 | 69.89 | 63.47 | |
| Faster RCNNPre-training=IN, #P=41.36M, FLOPS=26.13G, Stage=Two-stage2024.06 | 55.69 | 80.5 | 9.09 | 69.7 | 63.47 | |
| RepPointsPre-training=IN, #P=36.82M, FLOPS=12.12G, Stage=One-stage2024.06 | 49.25 | 77.98 | 9.09 | 51.13 | 58.81 | |
| YOLOFPre-training=IN, #P=42.41M, FLOPS=6.58G, Stage=One-stage2024.06 | 46.39 | 69.39 | 9.09 | 58.81 | 48.25 | |
| DAB-DETRPre-training=IN, #P=43.70M, FLOPS=10.49G, Stage=End2end2024.06 | 43.88 | 80.25 | 3.47 | 52.2 | 39.61 | |
| Conditional DETRPre-training=IN, #P=43.35M, FLOPS=9.79G, Stage=End2end2024.06 | 42.26 | 78.63 | 9.8 | 54.13 | 26.47 | |
| RetinaNetPre-training=IN, #P=36.39M, FLOPS=13.14G, Stage=One-stage2024.06 | 33.71 | 63.63 | 0.88 | 23.47 | 46.84 | |
| PVT-TPre-training=IN, #P=21.39M, FLOPS=10.10G, Stage=One-stage2024.06 | 29.72 | 58.88 | 10.14 | 11.53 | 38.34 | |
| DETRPre-training=IN, #P=41.56M, FLOPS=6.95G, Stage=End2end2024.06 | 8.89 | 13.39 | 1.26 | 6.7 | 14.21 |