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ResearchFormerly WizWand

Activity Detection on Charades localize v1

28.6mAPAGT
1.37288.441415.5122.5786Dec 5, 2017Jun 20, 2018Jan 3, 2019Jul 19, 2019Feb 1, 2020Aug 16, 2020Mar 1, 2021
Updated 8mo ago

Evaluation results

MethodLinks
AGT2021.0128.6
Super-eventsBackbone=3D ResNet-502021.0125.2
Coarse-Fineflow=false, obj.=false, GFLOPs=73.37, Param (M)=7.822021.0325.1
Fine-Fineflow=false, obj.=false, GFLOPs=94.8, Param (M)=7.82021.0324.43
Mavroudi et al.2021.0123.7
I3D + biGRU + VS-ST-MPNNflow=false, obj.=true, GFLOPs=2223.03+, Param (M)=12.45+2021.0323.7
SlowFast_det (with X3D)flow=false, obj.=false, GFLOPs=54.31, Param (M)=7.412021.0322.31
I3D + 3 TGMs + super-eventsBackbone=I3D, Input=two-stream (RGB + optical flow), Temporal module=TGM, Number of layers=3, Filter length (L)=30, Additional components=super-events2018.0322.3
TGM2021.0122.3
I3D + super-events + TGMflow=false, obj.=false, GFLOPs=4446.75, Param (M)=28.282021.0322.3
I3D + 3 TGMs + super-eventsBackbone=I3D, Input=two-stream (RGB + optical flow), Temporal module=TGM, Number of layers=3, Filter length (L)=5, Additional components=super-events2018.0321.8
I3D + 3 TGMsBackbone=I3D, Input=two-stream (RGB + optical flow), Temporal module=TGM, Number of layers=3, Filter length (L)=302018.0321.5
I3D + TGMflow=false, obj.=false, GFLOPs=4446.66, Param (M)=272021.0321.5
I3D + 3 TGMsBackbone=I3D, Input=two-stream (RGB + optical flow), Temporal module=TGM, Number of layers=3, Filter length (L)=52018.0320.6
X3D-Lflow=false, obj.=false, GFLOPs=147.04, Param (M)=5.782021.0320.03
X3D + TGMflow=false, obj.=false, GFLOPs=38.26, Param (M)=4.352021.0320.01
I3D + super-eventsbackbone=I3D, temporal_module=super-events2017.1219.41
I3D + super-eventsflow=false, obj.=false, GFLOPs=4446.15, Param (M)=26.182021.0319.41
I3D + super-eventsBackbone=I3D, Input=two-stream (RGB + optical flow), Temporal module=super-events2018.0319.4
Super-events2021.0119.4
I3D + STGCNflow=true, obj.=true, GFLOPs=4450.94, Param (M)=29.182021.0319.09
X3Dflow=false, obj.=false, GFLOPs=37.96, Param (M)=3.292021.0318.87
3D ResNet-50flow=false, obj.=false, GFLOPs=3187.63, Param (M)=46.522021.0318.6
I3D + Temporal Pyramidbackbone=I3D, temporal_module=Temporal Pyramid2017.1218.2
I3D + fixed temporal pyramidBackbone=I3D, Input=two-stream (RGB + optical flow), Temporal module=fixed temporal pyramid2018.0318.2
I3D + LSTMbackbone=I3D, temporal_module=LSTM2017.1218.1
I3D + LSTMBackbone=I3D, Input=two-stream (RGB + optical flow), Temporal module=LSTM2018.0318.1
I3D + 3 temporal conv. layersBackbone=I3D, Input=two-stream (RGB + optical flow), Number of layers=3, Filter length (L)=52018.0317.5
I3Dbackbone=I3D2017.1217.22
Two-stream I3Dflow=true, obj.=false, GFLOPs=4446.1, Param (M)=24.92021.0317.22
I3D baselineBackbone=I3D, Input=two-stream (RGB + optical flow)2018.0317.2
I3D baseline2021.0117.2
SSN2018.0316.4
SSN2021.0116.4
I3D (Inception)flow=false, obj.=false, GFLOPs=2223.03, Param (M)=12.452021.0315.63
Sigurdsson et al.2017.1212.8
Sigurdsson et al.2018.0312.8
R-C3D2017.1212.7
R-C3D2018.0312.7
R-C3D2021.0112.7
I3D + 3 temporal conv. layersBackbone=I3D, Input=two-stream (RGB + optical flow), Number of layers=3, Filter length (L)=302018.0312.5
Two-stream+LSTMbackbone=Two-Stream, temporal_module=LSTM2017.129.6
Two-stream+LSTM2018.039.6
Two-streamExtension=LSTM2021.019.6
Two-Streambackbone=Two-Stream2017.128.94
Two-stream2018.038.94
Predictive-corrective2017.128.9
Predictive-corrective2018.038.9
Predictive-corrective2021.018.9
Two-stream2021.018.9
RGBinput=RGB2017.127.89
Random2017.122.42