Object Detection on MSAR AP'12 protocol (test)
71.21mAPDenoDet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| DenoDetPre-training=IN, #P=34.23M, FLOPS=12.89G, Stage=End2end2024.06 | 71.21 | 90.74 | 46.07 | 79.6 | 68.41 | |
| AutoAssignPre-training=IN, #P=36.25M, FLOPS=12.95G, Stage=One-stage2024.06 | 70.68 | 89.85 | 45.49 | 79.29 | 68.09 | |
| YOLOXPre-training=IN, #P=8.94M, FLOPS=2.13G, Stage=One-stage2024.06 | 70.42 | 90.61 | 67.06 | 64.53 | 59.49 | |
| FCOSPre-training=IN, #P=32.12M, FLOPS=12.89G, Stage=One-stage2024.06 | 69.85 | 89.86 | 44.63 | 76.64 | 68.27 | |
| ATSSPre-training=IN, #P=32.12M, FLOPS=12.89G, Stage=One-stage2024.06 | 69.76 | 89.54 | 44.1 | 77.27 | 68.12 | |
| CenterNetPre-training=IN, #P=32.12M, FLOPS=12.88G, Stage=One-stage2024.06 | 69.25 | 91.1 | 41.24 | 77.05 | 67.61 | |
| GFLPre-training=IN, #P=32.27M, FLOPS=13.08G, Stage=One-stage2024.06 | 68.91 | 90.26 | 41.14 | 76.97 | 67.28 | |
| TOODPre-training=IN, #P=32.03M, FLOPS=12.62G, Stage=One-stage2024.06 | 68.32 | 89.88 | 42.24 | 73.91 | 67.24 | |
| VFNetPre-training=IN, #P=32.72M, FLOPS=12.09G, Stage=One-stage2024.06 | 66.56 | 89.21 | 36.74 | 73.12 | 67.16 | |
| Deformable DETRPre-training=IN, #P=40.10M, FLOPS=14.62G, Stage=End2end2024.06 | 66.08 | 92.37 | 31.27 | 73.16 | 67.52 | |
| PAAPre-training=IN, #P=32.12M, FLOPS=12.89G, Stage=One-stage2024.06 | 64.43 | 92.24 | 20.36 | 78.29 | 66.82 | |
| DDODPre-training=IN, #P=32.27M, FLOPS=29.02G, Stage=One-stage2024.06 | 62.31 | 88.75 | 66.69 | 74.79 | 19.03 | |
| LSKNetPre-training=IN, #P=30.98M, FLOPS=22.52G, Stage=Two-stage2024.06 | 58.74 | 86.86 | 67.05 | 78.72 | 2.34 | |
| ConvNeXtPre-training=IN, #P=45.06M, FLOPS=26.39G, Stage=Two-stage2024.06 | 57.4 | 85.29 | 67.09 | 77.12 | 0.1 | |
| Grid RCNNPre-training=IN, #P=64.47M, FLOPS=0.14T, Stage=Two-stage2024.06 | 57.3 | 86.65 | 3.74 | 71.99 | 66.83 | |
| ConvNeXt V2Pre-training=IN, #P=105.00M, FLOPS=40.71G, Stage=Two-stage2024.06 | 57.3 | 85.46 | 66.85 | 74.86 | 2 | |
| Faster RCNNPre-training=IN, #P=41.36M, FLOPS=26.13G, Stage=Two-stage2024.06 | 55.94 | 84.67 | 0.6 | 72.13 | 66.36 | |
| RepPointsPre-training=IN, #P=36.82M, FLOPS=12.12G, Stage=One-stage2024.06 | 48.22 | 82.06 | 0.42 | 51.24 | 59.14 | |
| YOLOFPre-training=IN, #P=42.41M, FLOPS=6.58G, Stage=One-stage2024.06 | 44.59 | 71.72 | 0.33 | 60.07 | 46.25 | |
| DAB-DETRPre-training=IN, #P=43.70M, FLOPS=10.49G, Stage=End2end2024.06 | 44.17 | 84.2 | 1.58 | 52.36 | 38.56 | |
| Conditional DETRPre-training=IN, #P=43.35M, FLOPS=9.79G, Stage=End2end2024.06 | 40.01 | 82.86 | 1.21 | 54.34 | 21.64 | |
| RetinaNetPre-training=IN, #P=36.39M, FLOPS=13.14G, Stage=One-stage2024.06 | 33.32 | 64.97 | 0.64 | 21.08 | 46.57 | |
| PVT-TPre-training=IN, #P=21.39M, FLOPS=10.10G, Stage=One-stage2024.06 | 26.25 | 59.64 | 1.52 | 6.77 | 37.05 | |
| DETRPre-training=IN, #P=41.56M, FLOPS=6.95G, Stage=End2end2024.06 | 3.85 | 5.38 | 0.82 | 2.96 | 6.24 |