Object Detection on VEDAI (test)
85.3mAP@0.50CFT
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| CFTBackbone=Transformer, Params(M)=196.92026.03 | 85.3 | — | — | — | — | — | — | — | — | — | |
| ESM-YOLO+Backbone=CNN, Params(M)=5.12026.03 | 84.7 | — | — | — | — | — | — | — | — | — | |
| TeacherParams(MB)=19.3, BOPS(G)=170242022.12 | 80.93 | 89.2 | 87.1 | 79.5 | 86.8 | 58.2 | 88 | 70.3 | 88.3 | 50.8 | |
| GHOSTParams(MB)=2.5, BOPS(G)=6922022.12 | 80.31 | 88.82 | 86.06 | 74.33 | 86.96 | 61.28 | 86 | 71.76 | 87.26 | 49.05 | |
| Cross-Channel-ViTBackbone=Transformer2026.03 | 78.5 | — | — | — | — | — | — | — | — | — | |
| ICAFusionsmall object detection tricks=not applied2023.08 | 76.62 | — | — | — | — | — | — | — | — | 44.93 | |
| ICAFusionBackbone=Transformer, Params(M)=120.22026.03 | 76.6 | — | — | — | — | — | — | — | — | — | |
| Mid Fusionsmall object detection tricks=not applied2023.08 | 74.8 | — | — | — | — | — | — | — | — | 46.3 | |
| ICAFusion (baseline)small object detection tricks=not applied, variant=baseline2023.08 | 74.66 | — | — | — | — | — | — | — | — | 44.09 | |
| Input Fusionsmall object detection tricks=not applied2023.08 | 74.4 | — | — | — | — | — | — | — | — | 45.65 | |
| SuperYOLOsmall object detection tricks=not applied2023.08 | 73.61 | — | — | — | — | — | — | — | — | — | |
| YOLOv4Params(MB)=210, BOPS(G)=390762022.12 | 65.7 | 86.2 | 70.9 | 71.9 | 75.3 | 54.9 | 69.3 | 30.7 | 66.6 | 40.9 | |
| YOLOv5mParams(MB)=84, BOPS(G)=165992022.12 | 64.4 | 81.6 | 73.9 | 59 | 70 | 57.2 | 77.7 | 30.5 | 65.5 | 38.2 | |
| YOLOv5lParams(MB)=186, BOPS(G)=375302022.12 | 63.9 | 84.3 | 76.8 | 74 | 75 | 51.5 | 61.3 | 30.3 | 57.4 | 37.9 | |
| YOLOv5xParams(MB)=349, BOPS(G)=713012022.12 | 63.9 | 84.7 | 66.4 | 66.8 | 72.4 | 65.8 | 67.2 | 29.2 | 58.8 | 37.8 | |
| YOLOv3Params(MB)=246, BOPS(G)=507492022.12 | 62.6 | 83.5 | 71.7 | 64.2 | 67.5 | 45.5 | 62.8 | 42 | 63.4 | 37.2 | |
| YOLOv5sParams(MB)=28, BOPS(G)=54272022.12 | 62.2 | 81.1 | 71.3 | 70.8 | 66.4 | 58.1 | 67.3 | 27 | 55.7 | 34.6 | |
| MOD-YOLOBackbone=Transformer + CNN, Params(M)=24.92026.03 | 59.3 | — | — | — | — | — | — | — | — | — | |
| MOD-YOLO-TinyBackbone=Transformer + CNN, Params(M)=16.02026.03 | 58.4 | — | — | — | — | — | — | — | — | — |