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Pose Estimation on COCO 2017 (val)

79.5APPoseBH
45.28454.16763.0571.933May 23, 2025Jul 13, 2025Sep 3, 2025Oct 24, 2025Dec 15, 2025Feb 4, 2026Mar 28, 2026

Evaluation results

MethodLinks
PoseBHBackbone=ViT-H, Datasets=62025.0579.5——91.985.884.5———
ViTPose++-HBackbone=ViT-H, Datasets=62025.0579.4——91.985.784.8———
PCTBackbone=Swin-H, Datasets=1, Input size=256x2562025.0579.3——91.585.9————
CIGPose-l#Params=29M, GFLOPs=9.4, Input Resolution=384×2882026.0378.5————81.1———
PCTBackbone=Swin-B, Datasets=1, Input size=256x2562025.0577.7——91.284.782.1———
CIGPose-l#Params=28M, GFLOPs=4.2, Input Resolution=256×1922026.0377.6————80.3———
PoseBHBackbone=ViT-B, Datasets=62025.0577.3——90.884.282.4———
RTMPose-l#Params=28M, GFLOPs=9.3, Input Resolution=384×2882026.0377.3————81.9———
HRFormer-B#Params=43M, GFLOPs=26.8, Input Resolution=384×2882026.0377.2————82———
ViTPose++-BBackbone=ViT-B, Datasets=62025.0577——91.48482.6———
ViTPose++-B#Params=86M, GFLOPs=17.1, Input Resolution=256×1922026.0377————82.6———
CIGPose-m#Params=14M, GFLOPs=1.9, Input Resolution=256×1922026.0376.6————79.3———
RTMPose-l#Params=28M, GFLOPs=4.2, Input Resolution=256×1922026.0376.5————81.3———
HRNet#Params=64M, GFLOPs=32.9, Input Resolution=384×2882026.0376.3————81.2———
SimCCBackbone=HRNet-W48, Datasets=12025.0576.1——90.682.981.2———
UniHCPBackbone=ViT-B, Datasets=332025.0576.1————————
RTMPose-m#Params=14M, GFLOPs=1.9, Input Resolution=256×1922026.0375.8————80.6———
HRFormerBackbone=HRFormer-B, Datasets=12025.0575.6——90.882.880.8———
HRNetBackbone=HRNet-W48, Datasets=12025.0575.1——90.682.280.4———
ECPose-XExtra Supervision=–, Parameters=50.6M, GFLOPs=172.2, Latency (ms)=14.312026.0374.8——92.281.580.16885.4—
ED-PoseExtra Supervision=–, Parameters=218.0M, GFLOPs=422.62026.0374.3——91.581.7—68.582.7—
SimpleBaseline#Params=60M, GFLOPs=15.7, Input Resolution=256×1922026.0373.5————79———
ECPose-LExtra Supervision=–, Parameters=34.3M, GFLOPs=111.7, Latency (ms)=11.832026.0373.5——91.779.978.866.484.4—
DETRPose-XExtra Supervision=O365, Parameters=73.3M, GFLOPs=239.5, Latency (ms)=18.892026.0373.3——90.579.479.467.582.7—
DETRPose-LExtra Supervision=O365, Parameters=32.8M, GFLOPs=107.1, Latency (ms)=11.512026.0372.5——90.67978.766.382.2—
ECPose-MExtra Supervision=–, Parameters=19.8M, GFLOPs=62.8, Latency (ms)=9.252026.0372.4——90.978.678.265.283.6—
RTMO-LExtra Supervision=–, Parameters=44.8M, GFLOPs=136.7, Latency (ms)=8.352026.0372.4——89.978.876.8———
YOLO26-Pose-XExtra Supervision=O365, Parameters=57.6M, GFLOPs=201.7, Latency (ms)=11.052026.0371.6——91.678.977.267.479.5—
VajraV1-XlargeParams (M)=73.56, FLOPs (B)=226.5, Latency (ms/img)=3.7, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1271.5————————
RTMO-MExtra Supervision=–, Parameters=22.6M, GFLOPs=69.0, Latency (ms)=6.212026.0370.9——8977.874.7———
YOLO26-Pose-LExtra Supervision=O365, Parameters=25.9M, GFLOPs=91.3, Latency (ms)=6.182026.0370.4——90.577.475.965.778.4—
VitPose-LBackbone=VIT-L, Size=512, Testing scale=single-scale2026.0370.1——88.3—74.5——90.2
DEKRBackbone=HRNet-W48, Size=640, Testing scale=single-scale2026.0370——89.4—75.4——91.4
YOLOv7-w6-poseBackbone=YOLOv7-W6, Size=960, Testing scale=single-scale2026.0370——88.6—75.6——91.9
HigherHRNetBackbone=HRNet-W48, Size=640, Testing scale=single-scale2026.0369.9——87.2—————
VajraV1-LargeParams (M)=25.49, FLOPs (B)=118.9, Latency (ms/img)=2.1, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1269.5————————
YOLOv11-XParams (M)=58.8, FLOPs (B)=202.8, Latency (ms/img)=2.8, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1269.5————————
YOLO11-Pose-XExtra Supervision=–, Parameters=58.8M, GFLOPs=203.3, Latency (ms)=12.952026.0369.5——91.177.476.366.676—
BKP-AssociationBackbone=YOLOv7-W6, Size=1536, Testing scale=single-scale2026.0369.5——87.6—75.7——91.9
DETRPose-MExtra Supervision=O365, Parameters=20.8M, GFLOPs=67.3, Latency (ms)=7.902026.0369.4——89.275.475.563.279—
YOLOv5l6-poseBackbone=YOLOv5l6, Size=960, Testing scale=single-scale2026.0369.4——90.2—75.9———
ECPose-SExtra Supervision=–, Parameters=9.9M, GFLOPs=30.4, Latency (ms)=5.542026.0368.9——89.175.274.660.781.1—
YOLO26-Pose-MExtra Supervision=O365, Parameters=21.5M, GFLOPs=73.1, Latency (ms)=4.752026.0368.8——89.675.574.66477.2—
HigherHRNetBackbone=HRNet-W48, Size=512, Testing scale=single-scale2026.0368.6——87.3—73.1——89.2
VajraV1-MediumParams (M)=21.15, FLOPs (B)=98.4, Latency (ms/img)=1.8, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1268.5————————
HigherHRNetBackbone=HRNet-W32, Size=640, Testing scale=single-scale2026.0368.5——87.1—————
VitPose-BBackbone=VIT-B, Size=512, Testing scale=single-scale2026.0368.5——87.3—72.9——89.2
YOLO-BKPBackbone=YOLOv7-W6, Size=1536, Testing scale=single-scale2026.0368——87.4—74.4——91.5
RTMO-SExtra Supervision=–, Parameters=9.9M, GFLOPs=30.7, Latency (ms)=3.782026.0367.7——87.873.771.5———
HigherHRNetBackbone=HRNet-W32, Size=512, Testing scale=single-scale2026.0367.7——87—72.9——89
YOLOv5m6-poseBackbone=YOLOv5m6, Size=960, Testing scale=single-scale2026.0367.4——89.1—73.9———
DEKRBackbone=HRNet-W32, Size=512, Testing scale=single-scale2026.0367.3——87.9—72.4——89.8
DETRPose-SExtra Supervision=O365, Parameters=11.5M, GFLOPs=33.1, Latency (ms)=5.122026.0367——87.672.873.560.277.4—
YOLOv11-LParams (M)=26.1, FLOPs (B)=90.3, Latency (ms/img)=2.0, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1266.1————————
YOLO11-Pose-LExtra Supervision=–, Parameters=26.2M, GFLOPs=90.7, Latency (ms)=7.952026.0366.1——89.973.673.363.273.1—
VajraV1-SmallParams (M)=12.07, FLOPs (B)=49.6, Latency (ms/img)=1.4, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1265————————
YOLOv11-MParams (M)=20.9, FLOPs (B)=71.4, Latency (ms/img)=1.5, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1264.9————————
YOLO11-Pose-MExtra Supervision=–, Parameters=20.9M, GFLOPs=71.7, Latency (ms)=6.652026.0364.9——89.472.472.262.271.6—
YOLOv5s6-poseBackbone=YOLOv5s6, Size=960, Testing scale=single-scale2026.0363.8——87.6—70.4———
YOLO26-Pose-SExtra Supervision=O365, Parameters=10.4M, GFLOPs=23.9, Latency (ms)=2.702026.0363.1——86.668.86956.573.7—
SAM-pose2segPrompting=Ground-truth pose keypoints, Selection Strategy=MaxSpread32026.0161.6————————
Associate EmbeddingBackbone=Hourglass, Size=512, Testing scale=single-scale2026.0361.3——83.3—65.9——85
Associate EmbeddingBackbone=ResNet152, Size=512, Testing scale=single-scale2026.0359.5——82.9—65.1——85.6
YOLO11-Pose-SExtra Supervision=–, Parameters=9.9M, GFLOPs=23.2, Latency (ms)=4.542026.0358.9——86.364.866.15468—
YOLOv11-SParams (M)=9.9, FLOPs (B)=23.1, Latency (ms/img)=1.1, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1258.5————————
Pose2SegPrompting=Ground-truth pose keypoints2026.0158.2————————
base SAM 2.1Prompting=Ground-truth pose keypoints2026.0157.1————————
VajraV1-NanoParams (M)=4.07, FLOPs (B)=14.8, Latency (ms/img)=1.1, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1256.4————————
Associate EmbeddingBackbone=ResNet101, Size=512, Testing scale=single-scale2026.0355.4——80.7—62.2——84.1
YOLOv11-NParams (M)=2.9, FLOPs (B)=7.4, Latency (ms/img)=1.0, Inference Precision=FP16, Inference Engine=TensorRT10, Hardware=NVIDIA RTX-4090 GPU2025.1250————————
Associate EmbeddingBackbone=ResNet50, Size=512, Testing scale=single-scale2026.0346.6——74.2—56.6——81
AE-HGInput size=5122021.04—227.8206.9——————
DEKR32Input size=512, Backbone=HRNet-W322021.04—29.645.4——————
DEKR48Input size=640, Backbone=HRNet-W482021.04—65.7141.5——————
HrHRNetInput size=6402021.04—63.8154.3——————
PersonLabInput size=14012021.04—68.7405.5——————