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Object Detection on MS COCO (val)

0.603mAPDyHead+
0.424120.470560.5170.56344Aug 4, 2019Sep 26, 2020Nov 20, 2021Jan 14, 2023Mar 8, 2024May 2, 2025Jun 26, 2026

Evaluation results

MethodLinks
DyHead+Backbone=Swin-L, Iteration=2x, Extra data=true2021.060.603——————————————————
DyHeadBackbone=Swin-L, Iteration=2x, Extra data=false2021.060.584——————————————————
HTC++Backbone=Swin-L, Iteration=6x, Extra data=false2021.060.58——————————————————
CopyPasteBackbone=Efficient-B7, Iteration=8x, Extra data=true2021.060.57——————————————————
CenterNet2+Backbone=Res2Net-101-DCN, Iteration=8x, Extra data=false2021.060.561——————————————————
YOLOv10-LFLOPs(G)=120.3, Parameters (M)=24.42026.060.532—0.701—0.572——————————————
YOLO26Variant=l, CPU ONNX (ms)=286.2, T4 TensorRT (ms)=6.5, Params (M)=24.8, FLOPs (B)=86.42025.100.53——————————————————
YOLOv8-LFLOPs(G)=165.2, Parameters (M)=43.72026.060.53—0.698—0.577——————————————
YOLOv9-CFLOPs(G)=102.1, Parameters (M)=25.32026.060.53—0.702—0.578——————————————
YOLOv12-LFLOPs(G)=88.9, Parameters (M)=26.42026.060.53—0.7—0.579——————————————
YOLOv12-MFLOPs=59.8 G, Latency=4.27 ms, Param.=19.6 M2025.050.526—0.695————————————————
YOLO11-LFLOPs(G)=86.9, Parameters (M)=25.32026.060.523—0.692—0.557——————————————
YOLO11Variant=l, CPU ONNX (ms)=308.7, T4 TensorRT (ms)=4.8, Params (M)=24.8, FLOPs (B)=53.42025.100.522——————————————————
YOLOv12-SoftHGNN-MFLOPs=80.2 G, Latency=6.01 ms, Param.=26.3 M2025.050.522—0.692————————————————
YOLOv12-SoftHGNN-M⋆FLOPs=73.6 G, Latency=5.09 ms, Param.=22.3 M2025.050.522—0.691————————————————
Hyper-YOLO-MFLOPs=103.3 G, Latency=9.0 ms, Param.=33.3 M2025.050.52—0.69————————————————
YOLOv12-M†FLOPs=59.8 G, Latency=4.75 ms, Param.=19.6 M2025.050.519—0.686————————————————
YOLOv6-3.0-LFLOPs(G)=150.7, Parameters (M)=59.62026.060.518—0.692————————————————
Gold-YOLO-LFLOPs(G)=151.7, Parameters (M)=75.12026.060.518—0.689————————————————
YOLO26Variant=m, CPU ONNX (ms)=220.0, T4 TensorRT (ms)=4.9, Params (M)=20.4, FLOPs (B)=68.2, Inference Mode=End-to-End (e2e)2025.100.517——————————————————
YOLO26Variant=m, CPU ONNX (ms)=220.0, T4 TensorRT (ms)=4.9, Params (M)=20.4, FLOPs (B)=68.2, Inference Mode=Standard (NMS)2025.100.515——————————————————
YOLO11-MFLOPs=68.0 G, Latency=4.70 ms, Param.=20.1 M2025.050.515—0.685————————————————
YOLOv9-MFLOPs=76.3 G, Latency=6.18 ms, Param.=20.0 M2025.050.514—0.681————————————————
YOLOv10-MFLOPs=59.1 G, Latency=4.74 ms, Param.=15.4 M2025.050.511—0.681————————————————
YOLO11-SoftHGNN-MFLOPs=85.0 G, Latency=6.07 ms, Param.=25.1 M2025.050.511—0.681————————————————
YOLO11-SoftHGNN-M⋆FLOPs=81.7 G, Latency=5.82 ms, Param.=22.8 M2025.050.51—0.68————————————————
YOLOv8Variant=m, CPU ONNX (ms)=197.5, T4 TensorRT (ms)=3.30, Params (M)=25.9, FLOPs (B)=63.32025.100.505——————————————————
YOLO11-M†FLOPs=68.0 G, Latency=5.04 ms, Param.=20.1 M2025.050.505—0.673————————————————
YOLO11Variant=m, CPU ONNX (ms)=171.0, T4 TensorRT (ms)=3.0, Params (M)=20.0, FLOPs (B)=44.82025.100.503——————————————————
YOLOv8-MFLOPs=78.9 G, Latency=5.09 ms, Param.=25.9 M2025.050.503—0.672————————————————
Gold-YOLO-MFLOPs=87.5 G, Latency=6.38 ms, Param.=41.3 M2025.050.498—0.67————————————————
REGO-Deformable DETR**Backbone=X101, Epochs=50, GFLOPs=434, #Params (M)=119, iterative box refinement and two-stage processing=true2021.120.491—0.675—0.5310.30.5260.65———————————
REGO-Deformable DETR**Backbone=R101, Epochs=50, GFLOPs=257, #Params (M)=73, iterative box refinement and two-stage processing=true2021.120.485—0.67—0.5240.2950.520.644———————————
Cascade-RCNNBackbone=ResNeSt1012020.040.483——————————————————
Hyper-YOLO-SFLOPs=39.0 G, Latency=4.7 ms, Param.=14.8 M2025.050.48—0.651————————————————
YOLOv12-SoftHGNN-SFLOPs=25.2 G, Latency=3.17 ms, Param.=11.4 M2025.050.48—0.648————————————————
KAConvNet-L2026.040.48—0.657—0.519——————————————
IPT-T2026.040.479—0.655—0.518——————————————
HVT Base2026.040.478—0.656—0.515——————————————
Deformable DETR**Backbone=X101, Epochs=50, GFLOPs=417, #Params (M)=105, iterative box refinement and two-stage processing=true, reproduced=true2021.120.477———0.5140.2930.5120.628———————————
REGO-Deformable DETR**Backbone=R50, Epochs=50, GFLOPs=190, #Params (M)=54, iterative box refinement and two-stage processing=true2021.120.476—0.668—0.5160.2960.5060.623———————————
YOLO26Variant=s, CPU ONNX (ms)=87.2, T4 TensorRT (ms)=2.7, Params (M)=9.5, FLOPs (B)=20.7, Inference Mode=End-to-End (e2e)2025.100.476——————————————————
YOLOv12-SFLOPs=19.4 G, Latency=2.42 ms, Param.=9.1 M2025.050.476—0.641————————————————
EfficientNet-B22026.040.476—0.653—0.514——————————————
MobileOne-S42026.040.475—0.651—0.514——————————————
Deformable DETR**Backbone=R101, Epochs=50, GFLOPs=240, #Params (M)=59, iterative box refinement and two-stage processing=true, reproduced=true2021.120.472—0.666—0.5110.2850.5090.624———————————
YOLO26Variant=s, CPU ONNX (ms)=87.2, T4 TensorRT (ms)=2.7, Params (M)=9.5, FLOPs (B)=20.7, Inference Mode=Standard (NMS)2025.100.472——————————————————
YOLO11-SoftHGNN-SFLOPs=27.4 G, Latency=3.16 ms, Param.=12.1 M2025.050.471—0.638————————————————
YOLOv12-SFLOPs(G)=21.4, Parameters (M)=9.32026.060.471—0.642—0.51——————————————
YOLO11Variant=s, CPU ONNX (ms)=90.0, T4 TensorRT (ms)=1.9, Params (M)=9.2, FLOPs (B)=16.72025.100.47——————————————————
YOLOv12-S†FLOPs=19.4 G, Latency=2.49 ms, Param.=9.1 M2025.050.47—0.638————————————————
YOLO11-SFLOPs=21.5 G, Latency=2.50 ms, Param.=9.4 M2025.050.469—0.639————————————————
CPNBackbone=HG-104, Input Size=ori., Flip=true2020.070.468——7.3———————————————
YOLOv9-SFLOPs=26.4 G, Latency=3.46 ms, Param.=7.1 M2025.050.468—0.634————————————————
YOLOv9-SFLOPs(G)=26.4, Parameters (M)=7.12026.060.468—0.634—0.507——————————————
Cascade Mask RCNNBackbone=X101, Epochs=36, GFLOPs=627, #Params (M)=1352021.120.466—0.651—0.5060.2930.5050.601———————————
AN (w/ BN)Architecture=AOGNet40M, Normalization=Attentive Normalization with BN, Framework=Cascade Mask R-CNN, Head #Params=92.58M2019.080.465—0.65—0.508——————————————
Deformable DETR**Backbone=R50, Epochs=50, GFLOPs=173, #Params (M)=40, iterative box refinement and two-stage processing=true, reproduced=true2021.120.464—0.653—0.5060.30.4980.614———————————
YOLOv10-SFLOPs=21.6 G, Latency=2.49 ms, Param.=7.2 M2025.050.463—0.63————————————————
YOLOv10-SFLOPs(G)=21.6, Parameters (M)=7.22026.060.463—0.63—0.504——————————————
Cascade-RCNNBackbone=ResNeSt502020.040.4619——————————————————
REGO-Deformable DETRBackbone=R50, Epochs=50, GFLOPs=190, #Params (M)=542021.120.459—0.652—0.4970.2760.4890.615———————————
AN (w/ BN)Architecture=ResNet101, Normalization=Attentive Normalization with BN, Framework=Cascade Mask R-CNN, Head #Params=96.77M2019.080.458—0.643—0.498——————————————
KAConvNet-B2026.040.458—0.631—0.496——————————————
YOLO11-SFLOPs(G)=21.5, Parameters (M)=9.42026.060.458—0.626—0.498——————————————
Mask-RCNNBackbone=ResNeSt1012020.040.4575——————————————————
MobileVit-S2026.040.457—0.63—0.495——————————————
PVT-Tiny2026.040.457—0.628—0.495——————————————
BNArchitecture=AOGNet40M, Normalization=Batch Normalization, Framework=Cascade Mask R-CNN, Head #Params=92.35M2019.080.456—0.639—0.497——————————————
YOLO11-S†FLOPs=21.5 G, Latency=2.57 ms, Param.=9.4 M2025.050.456—0.622————————————————
Gold-YOLO-SFLOPs=46.0 G, Latency=3.82 ms, Param.=21.5 M2025.050.454—0.625————————————————
Gold-YOLO-SFLOPs(G)=46, Parameters (M)=21.52026.060.454—0.625————————————————
TSP-RCNNBackbone=R50, Epochs=96, GFLOPs=188, #Params (M)=null2021.120.45—0.645—0.4960.2970.4770.58———————————
YOLOv8-SFLOPs=28.6 G, Latency=2.33 ms, Param.=11.2 M2025.050.45—0.618————————————————
YOLOv8-SFLOPs(G)=28.6, Parameters (M)=11.22026.060.45—0.618—0.487——————————————
YOLOv8Variant=s, CPU ONNX (ms)=128.4, T4 TensorRT (ms)=1.90, Params (M)=11.2, FLOPs (B)=25.92025.100.449——————————————————
CenterNetBackbone=HG-104, Input Size=ori., Flip=true2020.070.448——5.1———————————————
Cascade-RCNNBackbone=ResNet1012020.040.448——————————————————
REGO-Deformable DETRBackbone=R50, Epochs=36, GFLOPs=190, #Params (M)=542021.120.448—0.638—0.4870.270.480.602———————————
Cascade-RCNNBackbone=ResNet101 [60]2020.040.4479——————————————————
Mask RCNNBackbone=X101, Epochs=36, GFLOPs=457, #Params (M)=1022021.120.445—0.649—0.4870.2760.4830.577———————————
Sparse RCNNBackbone=R50, Epochs=36, GFLOPs=null, #Params (M)=null2021.120.445—0.634—0.4820.2690.4720.595———————————
BNArchitecture=ResNet101, Normalization=Batch Normalization, Framework=Cascade Mask R-CNN, Head #Params=96.32M2019.080.444—0.625—0.484——————————————
SMCABackbone=R101, Epochs=50, GFLOPs=218, #Params (M)=582021.120.444—0.652—0.480.2430.4850.61———————————
YOLOv6-3.0-SFLOPs(G)=45.3, Parameters (M)=18.52026.060.443—0.612————————————————
Anchor DETRFeature=DC5, Backbone=ResNet-50, Training Epochs=50, Batch size=1, GFLOPS=172, FPS=192021.090.442——————————————————
Efficient DETRBackbone=R50, Epochs=36, GFLOPs=159, #Params (M)=352021.120.442—0.622—0.480.2840.4750.566———————————
Anchor DETRBackbone=R50, Epochs=50, GFLOPs=151, #Params (M)=null2021.120.442—0.647—0.4750.2470.4820.606———————————
REGO-DETR*-DC5Backbone=R50, Epochs=50, GFLOPs=213, #Params (M)=58, 300 queries, reference points, and focal loss=true2021.120.44—0.626—0.4780.2650.4520.629———————————
CPNBackbone=HG-52, Input Size=ori., Flip=true2020.070.438——9.9———————————————
Deformable DETRFeature=multi-level, Backbone=ResNet-50, Training Epochs=50, Batch size=1, GFLOPS=173, FPS=152021.090.438——————————————————
Conditional DETRFeature=DC5, Backbone=ResNet-50, Training Epochs=50, Batch size=1, GFLOPS=195, FPS=102021.090.438——————————————————
Deformable DETRBackbone=R50, Epochs=50, GFLOPs=173, #Params (M)=402021.120.438—0.626—0.4770.2640.4710.58———————————
SMCAFeature=multi-level, Backbone=ResNet-50, Training Epochs=50, Batch size=1, GFLOPS=152, FPS=102021.090.437——————————————————
SMCABackbone=R50, Epochs=50, GFLOPs=152, #Params (M)=402021.120.437—0.636—0.4720.2420.470.604———————————
DETRFeature=DC5, Backbone=ResNet-50, Training Epochs=500, Batch size=1, GFLOPS=187, FPS=122021.090.433——————————————————
DETR-DC5Backbone=R50, Epochs=500, GFLOPs=187, #Params (M)=412021.120.433—0.631—0.4590.2250.4730.611———————————
KAConvNet-S2026.040.433—0.606—0.471——————————————
HTCBackbone=ResNet502020.040.432——————————————————
MobileOne-S02026.040.431—0.604—0.47——————————————