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Video Grounding on Ego4D-NLQ v1 (test)

24.96Recall@1 (Avg)RGNet
2.52728.351114.17519.9989Dec 11, 2023Apr 30, 2024Sep 19, 2024Feb 8, 2025Jun 29, 2025Nov 18, 2025Apr 9, 2026

Evaluation results

MethodLinks
RGNetNaQ=true2023.1224.9620.6312.4741.6725.08—19.33
UniversalVTGTraining Dataset=Unified2026.0424.81——————
RGNetNaQ=false2023.1221.8118.2812.0434.0222.89—17.8
NLQ ExpertTraining Dataset=Ego4D-NLQ2026.0419.55——————
CONENaQ=false2023.1217.6714.158.1830.3318.02—14.34
ReLeRNaQ=true2023.1217.5719.3111.5923.6215.75——
EgoVLPNaQ=true2023.1217.3815.99.4626.3817.8——
H-HandsNaQ=false2023.121513.27.923.315.6——
SnAGVisual/Text Features=EgoVLP, Training Paradigm=query-centric2024.0413.5715.8711.2638.2627.1632.71—
SnAGVisual/Text Features=EgoVLP, Training Paradigm=video-centric2024.0413.2515.7210.7838.3927.4432.92—
M-DETRNaQ=false2023.1212.468.235.0123.2313.37—9.27
VSLNetNaQ=true2023.1211.9310.265.8119.0112.67——
SOONetNaQ=false2023.1211.3183.7622.411.09—12.45
CONEVisual/Text Features=EgoVLP2024.0411.1714.158.1830.3318.0224.18—
Prior Unified SOTATraining Dataset=Unified2026.049.64——————
VSLNetVisual/Text Features=EgoVLP2024.048.8310.846.8118.8413.4516.15—
SnAGVisual/Text Features=SF + BERT, Training Paradigm=query-centric2024.048.7910.437.1527.5919.3323.46—
SnAGVisual/Text Features=SF + BERT, Training Paradigm=video-centric2024.048.339.836.8327.9319.2723.6—
CONEVisual/Text Features=SF + BERT2024.047.7210.45.0322.7411.8717.31—
UniVTGNaQ=false2023.127.611.743.257.547.88——
2D-TANNaQ=false2023.126.465.042.0212.895.88—6.07
SOONetVisual/Text Features=SF + BERT2024.045.8883.7622.411.0916.75—
Charades-STA ExpertTraining Dataset=Charades-STA2026.044.35——————
VSLNetVisual/Text Features=SF + BERT2024.044.295.453.1210.746.638.69—
ActivityNet-Captions ExpertTraining Dataset=ActivityNet-Captions2026.043.93——————
2D-TANVisual/Text Features=SF + BERT2024.043.535.042.0212.895.889.39—
TACoS ExpertTraining Dataset=TACoS2026.043.39——————