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Object Detection on VisDrone (val)

63.1AP50FRFDet-X†
42.50847.85453.258.546Mar 15, 2023Oct 2, 2023Apr 20, 2024Nov 8, 2024May 28, 2025Dec 15, 2025Jul 5, 2026

Evaluation results

MethodLinks
FRFDet-X†Input Size=1024×1024, Test-set=o + ca, Params (M)=38.9, FLOPs (G)=272.2, FPS=45.82026.0763.141.5—————————
FRFDet-XInput Size=640×640, Test-set=ca, Params (M)=38.9, FLOPs (G)=106.3, FPS=94.62026.076340.9—————————
UFPMP w/ DN-FPNCropping Strategy=MP2024.0662.737.838.6————————
UFPMPCropping Strategy=MP2024.0662.436.636.7————————
UFPMP-DetInput Size=1333×800, Test-set=o + ca, FLOPs (G)=150.2, FPS=21.72026.0762.436.6—————————
ESODInput Size=1333×800, Test-set=o + ca, FLOPs (G)=180.6, FPS=28.62026.0762.337.9—————————
RemDet-XInput Size=1024×640, Test-set=o + ca, Params (M)=74.1, FLOPs (G)=182.0, FPS=110.22026.0761.940—————————
SFFNet-XScale=Extra-large, Param(M)=38.5, FLOPs(G)=203.72026.0459.336.838.513.639.551.4——29.647.445.4
SFFNet-LScale=Large, Param(M)=24.6, FLOPs(G)=131.02026.0458.536.137.813.438.850.7——28.946.648.7
FRFDet-X†Input Size=1024×1024, Test-set=o, Params (M)=38.9, FLOPs (G)=272.2, FPS=45.82026.0758.437.5—————————
CZ Det.Detector=Faster R-CNN2023.0358.333.2233.16—————26.0642.5843.36
CZDetCropping Strategy=Density2024.0658.333.233.2————————
CZDetInput Size=1999×1200, Test-set=o + dc, FPS=8.42026.0758.333.2—————————
SFFNet-BScale=Basic, Param(M)=19.7, FLOPs(G)=105.62026.0458.235.937.313.63951——28.646.646.2
CascadeNetDetector=Faster R-CNN, Model Fusion=true2023.0358.0230.1227.53————————
DNTRCropping Strategy=MP2024.0657.934.435.3————————
SFFNet-MScale=Medium, Param(M)=14.2, FLOPs(G)=63.22026.0457.535.336.613.238.550.4——284642.9
YOLOv8-XScale=Extra-large, Param(M)=68.2, FLOPs(G)=257.8, reimplemented=true2026.0457.335.637.213.538.950.1——27.247.644.5
YOLO11-XScale=Extra-large, Param(M)=56.9, FLOPs(G)=194.9, reimplemented=true2026.0457.335.737.213.338.750.2——2847.444.9
YOLOv10-XScale=Extra-large, Param(M)=29.5, FLOPs(G)=160.4, reimplemented=true2026.0457.135.136.512.938.149.9——27.545.943.4
YOLOv10-LScale=Large, Param(M)=24.4, FLOPs(G)=120.3, reimplemented=true2026.045634.435.91337.649.3——26.845.142.2
GLSANCropping Strategy=Density2024.0655.832.533————————
YOLOv8-LScale=Large, Param(M)=43.7, FLOPs(G)=165.2, reimplemented=true2026.0455.734.635.813.338.249.3——26.54645.7
YOLO11-LScale=Large, Param(M)=25.3, FLOPs(G)=86.9, reimplemented=true2026.0455.634.535.713.23849.2——26.645.545.8
GLSANDetector=Faster R-CNN2023.0355.430.730————————
YOLOv10-BScale=Basic, Param(M)=19.1, FLOPs(G)=92.0, reimplemented=true2026.0455.433.834.912.737.349.1——26.344.238.5
GLSANInput Size=1333×800, Test-set=o + ca2026.0755.430.7—————————
EFSI-DETR*Image Size=800, Latency (ms)=5.3, Params (M)=27.32026.0155.23536.9—————27.345.343.3
YOLCInput Size=1024×640, Test-set=o + ca, FLOPs (G)=151.0, FPS=2.32026.075531.8—————————
YOLO11-MScale=Medium, Param(M)=20.1, FLOPs(G)=68.0, reimplemented=true2026.0454.433.534.612.937.148.2——25.844.147.5
DNTRCropping Strategy=None2024.0653.833.134.8————————
FMC-DETR-TInput size=640×640, Param=13.8M, FLOPs=146.8G2025.0953.633.7—————————
YOLOv8-MScale=Medium, Param(M)=25.9, FLOPs(G)=78.9, reimplemented=true2026.0453.332.933.912.836.547.3——2543.643.4
SFFNet-SScale=Small, Param(M)=6.3, FLOPs(G)=24.02026.0452.831.632.312.135.747.4——25.340.835.7
EFSI-DETRImage Size=640, Latency (ms)=5.3, Params (M)=27.32026.0152.733.134.7—————24.84444
AMRNetCropping Strategy=Adaptive2024.0652.731.733.1————————
AMRNetInput Size=1500×800, Test-set=o + aug2026.0752.731.7—————————
YOLOv10-MScale=Medium, Param(M)=15.4, FLOPs(G)=59.1, reimplemented=true2026.0452.631.932.812.335.847.4——24.74240.7
SDPCropping Strategy=None2024.0652.530.230.6————————
EFCInput Size=1333×800, Test-set=o, Params (M)=40.0, FLOPs (G)=477.62026.0752.130.1—————————
UAV-DETR-R50Image Size=640, Params (M)=422026.0151.131.5—————————
CEASCImage Size=1333, Latency (ms)=43.82026.0150.728.728.4————————
CEASCCropping Strategy=None2024.0650.728.728.4————————
CEASCInput Size=1333×800, Test-set=o, FLOPs (G)=150.2, FPS=21.72026.0750.728.7—————————
ClusterNetDetector=Faster R-CNN2023.0350.6326.7224.7—————17.6138.9251.4
ClusDetCropping Strategy=Cluster2024.0650.626.724.7————————
ClusDetInput Size=1000×600, Test-set=o + ca, FLOPs (G)=436.0, FPS=6.52026.0750.626.7—————————
FSAFInput Size=1333×800, Test-set=o, FLOPs (G)=518.3, FPS=15.82026.0750.326.3—————————
GFLV1Image Size=1333, Latency (ms)=5252026.015028.427.8————————
GFL V1Input Size=1333×800, Test-set=o, FLOPs (G)=525.0, FPS=13.52026.075028.4—————————
CDMNetDetector=Faster R-CNN2023.0349.529.229.8—————20.840.741.6
CDMNetInput Size=1000×600, Test-set=ca2026.0749.529.2—————————
HRDNetImage Size=13332026.0149.328.328.2————————
DetectoRS*Cropping Strategy=MP2024.0649.329.430.2————————
HRDNetInput Size=2666×1600, Test-set=o2026.0749.328.3—————————
UAV-DETR-R18Image Size=640, Params (M)=202026.0148.829.8—————————
FRFDet-XInput Size=640×640, Test-set=o, Params (M)=38.9, FLOPs (G)=106.3, FPS=94.62026.0748.830.8—————————
FBRT-YOLO-XPublication=AAAI2025, Input size=640×640, Param=22.8M, FLOPs=185.8G2025.0948.430.1—————————
FMC-DETR-BInput size=640×640, Param=17.4M, FLOPs=62.9G2025.0948.429.4—————————
RemDet-XInput Size=640×640, Test-set=o, Params (M)=74.1, FLOPs (G)=112.0, FPS=110.22026.0748.329.9—————————
QueryDetDetector=Faster R-CNN2023.0348.1428.3228.75————————
QueryDetCropping Strategy=Evenly2024.0648.128.328.8————————
QueryDetInput Size=1333×800, Test-set=o, FLOPs (G)=888.4, FPS=11.32026.0748.128.3—————————
CenterNetImage Size=800, Latency (ms)=95.22026.0147.927.827.6—————21.342.149.8
DEIM-RT-DETRv2-R50Image Size=640, Latency (ms)=1.9, Params (M)=422026.0147.728.228.1—————1939.247.9
FBRT-YOLO-LPublication=AAAI2025, Input size=640×640, Param=14.6M, FLOPs=119.2G2025.0947.729.7—————————
DensityMapDetector=Faster R-CNN2023.0347.6228.2128.9—————19.939.6155.81
DMNetInput Size=1000×600, Test-set=o + dc, FLOPs (G)=471.4, FPS=5.92026.0747.628.2—————————
RemDet-LImage Size=640, Latency (ms)=7.1, Params (M)=35.32026.0147.429.330.3—————18.743.455.8
RemDet-LInput Size=640×640, Test-set=o, Params (M)=35.3, FLOPs (G)=66.7, FPS=138.42026.0747.429.3—————————
FRFDet-LInput Size=640×640, Test-set=o, Params (M)=22.6, FLOPs (G)=57.2, FPS=78.42026.0747.329.8—————————
CascadeNetDetector=Faster R-CNN, Model Fusion=false2023.0347.128.829.3————————
RT-DETR-R50Publication=CVPR2024, Input size=640×640, Param=42.0M, FLOPs=136.0G2025.094728.4—————————
YOLOv8-XPublication=Ultralytics, Input size=640×640, Param=68.2M, FLOPs=257.8G2025.0946.828.9—————————
FRFDet-MInput Size=640×640, Test-set=o, Params (M)=17.4, FLOPs (G)=47.7, FPS=98.82026.0746.729.2—————————
YOLOv8-SScale=Small, Param(M)=11.2, FLOPs(G)=28.6, reimplemented=true2026.0446.627.828.211.132.242.6——20.63735.8
YOLO11-SScale=Small, Param(M)=9.4, FLOPs(G)=21.5, reimplemented=true2026.0446.527.828.11132.442.8——20.537.334.9
YOLOv10-SScale=Small, Param(M)=7.2, FLOPs(G)=21.6, reimplemented=true2026.0446.227.227.510.731.943.2——20.835.631.9
RemDet-MImage Size=640, Params (M)=23.32026.0146.128.228.9—————18.241.751
YOLOv10-XPublication=NeurIPS2024, Input size=640×640, Param=29.5M, FLOPs=160.4G2025.0946.128.7—————————
RemDet-MInput Size=640×640, Test-set=o, Params (M)=23.3, FLOPs (G)=34.42026.0746.128.2—————————
YOLOv8-LPublication=Ultralytics, Input size=640×640, Param=43.7M, FLOPs=165.2G2025.0945.928.4—————————
FBRT-YOLO-MPublication=AAAI2025, Input size=640×640, Param=7.2M, FLOPs=58.7G2025.0945.928.4—————————
YOLOv12-XImage Size=640, Latency (ms)=6.5, Params (M)=59.12026.0145.728.129.1—————17.941.546.5
DEIM-RT-DETRv2-R18Image Size=640, Latency (ms)=1.2, Params (M)=19.92026.0145.727.127.1—————18.837.146.8
SFFNet-NScale=Nano, Param(M)=1.7, FLOPs(G)=7.22026.0445.426.726.810.431.542.6——19.835.335
YOLO11-XImage Size=640, Latency (ms)=5.8, Params (M)=56.82026.0145.127.728.4—————18.140.447.6
RetinaNetCropping Strategy=Evenly2024.0644.926.227.1————————
RT-DETR-R50Image Size=640, Latency (ms)=5.1, Params (M)=422026.0144.826.826.9—————18.437.143.9
YOLOv8-XImage Size=640, Latency (ms)=4.9, Params (M)=68.22026.0144.627.227.7—————17.339.846.3
YOLOv10-LPublication=NeurIPS2024, Input size=640×640, Param=24.4M, FLOPs=120.3G2025.0944.627.6—————————
RT-DETR-R18Publication=CVPR2024, Input size=640×640, Param=20.0M, FLOPs=60.0G2025.0944.626.7—————————
YOLOv10-XImage Size=640, Latency (ms)=4.5, Params (M)=29.42026.0144.527.228—————17.440.348.3
YOLO11-MInput Size=640×640, Test-set=o, Params (M)=20.0, FLOPs (G)=33.8, FPS=144.02026.0744.527.3—————————
Yolov5Cropping Strategy=None2024.0644.124.124.7————————
YOLO11-LImage Size=640, Latency (ms)=4.2, Params (M)=25.32026.01442727.6—————16.540.451.6
YOLOv11-XPublication=Ultralytics, Input size=640×640, Param=56.9M, FLOPs=194.9G2025.0943.826.6—————————
SAHIInput Size=1333×800, Test-set=o, Params (M)=26.12026.0743.525.6—————————
YOLOv8-LImage Size=640, Latency (ms)=4.2, Params (M)=43.62026.0143.426.527—————16.139.546.1
RT-DETR-R18Image Size=640, Latency (ms)=3.6, Params (M)=19.92026.0143.325.725.9—————17.535.839.4