List your company

Action Spotting on SoccerNet v2 (test)

73.74Average-mAP (Tight 1-5 s)Proposed (ASTRM/SoftIC)
9.010425.815242.6259.4248Jun 15, 2022Nov 26, 2022May 10, 2023Oct 22, 2023Apr 4, 2024Sep 16, 2024Feb 28, 2025

Evaluation results

MethodLinks
Proposed (ASTRM/SoftIC)Params (M)=6.46, GFLOPS=60.252025.0273.7479.11—
COMEDIANBackbone=ViSwin-T, Params (M)=70.12, GFLOPS=222.762025.0271.3377.07—
ASTRAParams (M)=44.33, GFLOPS=8.832025.0266.6378.14—
DU+SAM+mixup +Soft-NMSFeatures=Combination×2 + ResNet2022.0665.1—78.5
SpivakParams (M)=17.46, GFLOPS=461.892025.0265.178.5—
UGLFParams (M)=4.46, GFLOPS=39.612025.0263.5173.98—
E2E-SpotBackbone=800MF2022.0761.8274.05—
E2E-SpotBackbone=RegNet-Y 800MF, Params (M)=12.64, GFLOPS=151.42025.0261.8274.05—
E2E-SpotFeatures=RegNetY tuned2022.0661.8—74.1
E2E-SpotBackbone=200MF2022.0761.1973.25—
E2E-SpotBackbone=RegNet-Y 200MF, Params (M)=4.46, GFLOPS=39.612025.0261.1973.25—
SpotFormer2025.0260.976.1—
DU+SAM+mixupFeatures=Combination2022.0660.7—77.3
Faster-TADFeatures=Swin tuned2022.0654.1——
Zhou et al.Features=Combination2022.0647.1—73.8
Zhou et al.Competition Context=2021 challenge; 1st2022.0747.0573.77—
Baidu (TF)Backbone=TF2025.0247.0573.77—
T-DEEDBackbone=RegNet-Y 200MF, Params (M)=16.36, GFLOPS=21.962025.0239.4352.93—
RMS-Net2022.0728.8363.49—
AImageLab RMSNetFeatures=ResNet tuned2022.0628.8—63.5
T-DEEDBackbone=RegNet-Y 800MF, Params (M)=46.22, GFLOPS=60.252025.0221.5730.49—
CALFFeatures=ResNet+PCA2022.0612.2—40.7
NetVLAD++Features=ResNet2022.0611.5—53.4
AlmageLab RMSNetInput type=Feature extractor2023.09——28.8
BaiduInput type=Feature extractor2023.09——47.1
CALF-calibrationFeatures=ResNet+PCA + top view2022.06——46.8
COMEDIANInput type=End-to-end (Image), Backbone=ViViT-T2023.09——70.7
COMEDIANInput type=End-to-end (Image), Backbone=ViSwin-T2023.09——71.6
COMEDIANInput type=End-to-end (Image), Backbone=ViViT-T, Ensemble=true2023.09——72
COMEDIANInput type=End-to-end (Image), Backbone=ViSwin-T, Ensemble=true2023.09——73.1
E2E-SpotInput type=End-to-end (Image)2023.09——61.8
Faster-TADInput type=Feature extractor2023.09——54.1
NetVLAD++Input type=Feature extractor2023.09——11.5
SpivakInput type=Feature extractor2023.09——65.1
SpotFormerInput type=Feature extractor2023.09——60.9