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Video Retrieval on UCF101 (test)

98Top-1 AccHuman estimate
6.37630.16353.9577.737Aug 6, 2020Mar 27, 2021Nov 16, 2021Jul 7, 2022Feb 26, 2023Oct 17, 2023Jun 7, 2024

Evaluation results

MethodLinks
Human estimateDescription Variant=Object2024.0698————————
Human estimateDescription Variant=Masked Object2024.0698————————
Our MethodDescription Variant=Object2024.0658.46————————
CoCLR-2StreamTraining Dataset=UCF101, Modality=Two-stream, Averaged similarity=true2020.1055.970.876.982.5—————
MCNBackbone=R3D2021.0853.870.278.383.489.7————
CoCLR-RGBTraining Dataset=UCF101, Modality=RGB2020.1053.369.476.682—————
CoCLR2021.0853.369.476.682—————
ViFiCLIPDescription Variant=Object2024.0652.7————————
MCNBackbone=R(2+1)D2021.0852.569.577.983.189.3————
XCLIPDescription Variant=Object2024.0652.37————————
CoCLR-FlowTraining Dataset=UCF101, Modality=Flow2020.1051.968.57580.8—————
Text4VisDescription Variant=Object2024.0651.23————————
Our MethodDescription Variant=Masked Object2024.0647.8————————
InfoNCE-FlowTraining Dataset=UCF101, Modality=Flow2020.1045.567.575.482.7—————
IICBackbone=R3D, Sampling strategy=shuffle, Views=RGB + Optical Flow (v)2020.0842.460.969.277.186.5————
IIC2021.0842.460.969.277.186.5————
IICBackbone=R3D, Sampling strategy=repeat, Views=RGB + Optical Flow (u)2020.0841.860.469.578.487.7————
IICBackbone=R3D, Sampling strategy=repeat, Views=RGB + Residual2020.0836.554.162.972.483.4————
InfoNCE-RGBTraining Dataset=UCF101, Modality=RGB2020.10365261.871—————
ViFiCLIPDescription Variant=Masked Object2024.0634.76————————
IICBackbone=R3D, Sampling strategy=shuffle, Views=RGB + Residual2020.0834.65362.371.782.4————
Text4VisDescription Variant=Masked Object2024.0633.8————————
XCLIPDescription Variant=Masked Object2024.0632.01————————
PP2021.0831.949.759.268.980.2————
Catch-the-PatchPre-training Dataset=Kinetics-400, Backbone=R3D-182021.052947.3———————
CMCBackbone=R3D, Input=RGB + Optical Flow2020.0826.437.745.153.266.3————
CMC2021.0826.437.745.153.266.3————
One-viewBackbone=R3D, Input=RGB only2020.0826.239.346.855.666.8————
TempTransPre-training Dataset=Kinetics-400, Backbone=R3D-182021.0526.148.5———————
Vanilla CLIPDescription Variant=Object2024.0625.92————————
BüchlerBackbone=R3D2020.0825.736.242.249.259.5————
BuchlerDate=2018, Training Dataset=UCF1012020.1025.736.242.249.2—————
Büchler2021.0825.736.242.249.259.5————
Catch-the-PatchPre-training Dataset=UCF-101, Backbone=R3D-182021.0523.440.9———————
Vanilla CLIPDescription Variant=Masked Object2024.0623.33————————
PRPPre-training Dataset=UCF-101, Backbone=R3D-182021.0522.838.5———————
MemDPCDate=2020, Training Dataset=UCF1012020.1020.240.452.464.7—————
OPNBackbone=R3D2020.0819.928.73440.651.6————
OPNDate=2017, Training Dataset=UCF1012020.1019.928.73440.6—————
PacePre-training Dataset=UCF-101, Backbone=R3D-182021.0519.936.2———————
OPN2021.0819.928.73440.651.6————
VCP2021.0819.933.74250.564.4————
JigsawBackbone=R3D2020.0819.728.533.54049.4————
JigsawDate=2016, Training Dataset=UCF1012020.1019.728.533.540—————
Jigsaw2021.0819.728.533.54049.4————
VCPBackbone=R3D2020.0818.633.642.553.568.1————
VCPDate=2020, Training Dataset=UCF1012020.1018.633.642.553.5—————
VCPPre-training Dataset=UCF-101, Backbone=R3D-182021.0518.633.6———————
VCOPBackbone=R3D2020.0814.130.340.451.166.5————
VCOPDate=2019, Training Dataset=UCF1012020.1014.130.340.451.1—————
VCOPPre-training Dataset=UCF-101, Backbone=R3D-182021.0514.130.3———————
SpeedNetDate=2020, Training Dataset=K4002020.101328.137.549.5—————
SpeedNetPre-training Dataset=Kinetics-400, Backbone=R3D-182021.051328.1———————
VCOP2021.0810.725.935.447.363.9————
R3D (random)Backbone=R3D2020.089.918.92635.551.9————
CATEBackbone=R3D-50 (31.7M), Pretrain=K4002022.04—————54.968.375.182.3
CentralizedPre-training dataset=K400 (Non-IID)2022.07—————2947.3——
DSMBackbone=I3D (25.0M), Pretrain=UCF1012022.04—————17.435.245.357.8
FedAvg (Baseline)Pre-training dataset=K400 (Non-IID)2022.07—————32.6250.41——
FedVSSLPre-training dataset=K400 (Non-IID), Alpha (α)=0, Beta (β)=02022.07—————34.3451.71——
FedVSSLPre-training dataset=K400 (Non-IID), Alpha (α)=1, Beta (β)=02022.07—————34.2352.21——
FedVSSLPre-training dataset=K400 (Non-IID), Alpha (α)=0, Beta (β)=12022.07—————35.6152.18——
FedVSSLPre-training dataset=K400 (Non-IID), Alpha (α)=1, Beta (β)=12022.07—————35.6652.34——
FedVSSLPre-training dataset=K400 (Non-IID), Alpha (α)=0.9, Beta (β)=02022.07—————35.554.27——
FedVSSLPre-training dataset=K400 (Non-IID), Alpha (α)=0.9, Beta (β)=12022.07—————35.3452.34——
MCNBackbone=R3D-18 (20.2M), Pretrain=UCF101, additional residual views=true2022.04—————53.870.278.383.4
MFOBackbone=R3D-18 (20.2M), Pretrain=K4002022.04—————41.560.671.280.1
MFOBackbone=R3D-18 (20.2M), Pretrain=UCF1012022.04—————39.657.669.278
PaceBackbone=R3D-18 (20.2M), Pretrain=UCF1012022.04—————23.838.146.456.6
ProViCoBackbone=R3D-18 (20.2M), Pretrain=K4002022.04—————67.681.490.194.7
ProViCoBackbone=R3D-18 (20.2M), Pretrain=UCF1012022.04—————63.875.184.889.2
PRPBackbone=R3D-18 (20.2M), Pretrain=UCF1012022.04—————22.838.546.755.2
SpeedNetBackbone=S3D-G (9.1M), Pretrain=K4002022.04—————1328.137.549.5
STSBackbone=R3D-18 (20.2M), Pretrain=UCF1012022.04—————38.359.968.977.2
TCLRBackbone=R3D-18 (20.2M), Pretrain=UCF1012022.04—————56.272.27985.3
TECBackbone=R3D-18 (20.2M), Pretrain=K4002022.04—————66.983.188.893.3
TECBackbone=R3D-18 (20.2M), Pretrain=UCF1012022.04—————62.578.484.188.8
VCPBackbone=R3D-18 (20.2M), Pretrain=UCF1012022.04—————18.633.642.553.5