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Action Recognition on HMDB51 (Top-1 Accuracy)

89.3Top-1 AccInternVideo
55.81264.50673.281.894Nov 28, 2019Aug 16, 2020May 6, 2021Jan 24, 2022Oct 13, 2022Jul 3, 2023Mar 22, 2024

Evaluation results

MethodLinks
InternVideo2022.1289.3
MTV2022.1287.6
R(2+1)D BERT (64f)Uses Flow?=No, Extra Training Data=IG65M2020.0885.1
R(2+1)D BERT (32f)Uses Flow?=No, Extra Training Data=IG65M2020.0883.99
ResNeXt101 BERTUses Flow?=Yes, Extra Training Data=Kinetics-4002020.0883.55
BIKE (ViT-L, 336)Pre-training=Kinetics, Modality=RGB, Backbone=ViT-L, Resolution=3362022.1283.1
HAF + BoW/FV hallucUses Flow?=No, Extra Training Data=Kinetics-4002020.0882.48
EvaNetUses Flow?=Yes, Extra Training Data=Kinetics-4002020.0882.3
BIKE (ViT-L)Pre-training=Kinetics, Modality=RGB, Backbone=ViT-L2022.1282.2
ResNeXt101Uses Flow?=Yes, Extra Training Data=Kinetics-4002020.0881.78
FcFUses Flow?=No, Extra Training Data=Kinetics-4002020.0881.1
I3DUses Flow?=Yes, Extra Training Data=Kinetics-4002020.0880.9
MARS + RGB + FlowUses Flow?=Yes, Extra Training Data=Kinetics-4002020.0880.9
Two-stream I3DBackbone=3D Inception-v1, Pre-train=Kinetics, #3D=true, #Optical flow=true, #Frames=64+642021.0380.9
InternVideo2-s2-6BSetting=16 x 224, Protocol=Linear probing2024.0380.7
R(2+1)D (32f)Uses Flow?=No, Extra Training Data=IG65M2020.0880.54
RSTAN + IDTUses Flow?=Yes, Extra Training Data=ImageNet2020.0879.9
R(2+1)DUses Flow?=Yes, Extra Training Data=Kinetics-4002020.0878.7
TDNPre-training=Kinetics, Modality=RGB2022.1276.4
S3D-GPre-training=Kinetics, Modality=RGB2022.1275.9
MSNet-R50Backbone=TSM-ResNet50, Pre-train=Kinetics, #Frames=82021.0375.8
MVFNetPre-training=Kinetics, Modality=RGB2022.1275.7
MMV (Audio, Text)Modality=Video + Audio + Text, Pre-training video length (kilo hours)=139.8, Evaluation Protocol=Fully fine-tuning2022.0175
MMVModality=A, T, Length (K)=139.8, Evaluation Protocol=Full2022.0475
I3DPre-training=Kinetics, Modality=RGB2022.1274.8
R(2+1)DUses Flow?=No, Extra Training Data=Kinetics-4002020.0874.5
R(2+1)DPre-training=Kinetics, Modality=RGB2022.1274.5
RGB I3DBackbone=3D Inception-v1, Pre-train=Kinetics, #3D=true, #Frames=642021.0374.3
TSMUses Flow?=No, Extra Training Data=Kinetics-4002020.0873.5
TSMBackbone=ResNet50, Pre-train=Kinetics, #Frames=82021.0373.5
TSMPre-training=Kinetics, Modality=RGB2022.1273.5
Ours-cumulativeBackbone=TSM-ResNet50, Pre-train=Kinetics, #Frames=all, #Clusters=82021.0373.4
Ours-slopeBackbone=TSM-ResNet50, Pre-train=Kinetics, #Frames=all, #Clusters=82021.0373.3
ECO-En LiteBackbone=BNIncep+3D Res18, Pre-train=Kinetics, #3D=true, #Frames=82021.0372.4
STMBackbone=ResNet50, Pre-train=ImageNet+Kinetics, #Frames=162021.0372.2
STMPre-training=Kinetics, Modality=RGB2022.1272.2
InternVideo2-s1-6BSetting=16 x 224, Protocol=Linear probing2024.0371.8
InternVideo2-s1-1BSetting=16 x 224, Protocol=Linear probing2024.0371.6
SI+DI+OF+DOFBackbone=ResNeXt50, Pre-train=Imagenet, #Optical flow=dynamic images2021.0371.5
IMD-B2022.0371.3
TSNUses Flow?=Yes, Extra Training Data=ImageNet2020.0871
ARTNetPre-training=Kinetics, Modality=RGB2022.1270.9
MILESModality=T, Length (K)=13.0, Evaluation Protocol=Full2022.0470.5
COVIARModality=RGB + Optical Flow2022.0370.2
ActionVlad + IDTUses Flow?=Yes, Extra Training Data=ImageNet2020.0869.8
BridgeFormerModality=Video + Text, Pre-training video length (kilo hours)=13.0, Evaluation Protocol=Fully fine-tuning2022.0169.8
TSN2022.0369.4
Two-stream Fusion + IDTUses Flow?=Yes, Extra Training Data=ImageNet2020.0869.2
XDCArchitecture=R(2+1)D-18, Pretraining Dataset=IG-Kinetics2019.1168.9
ELoArchitecture=R(2+1)D-50, Pretraining Dataset=YouTube-8M2019.1167.4
ELOModality=Video + Audio + Optical Flow, Pre-training video length (kilo hours)=115.0, Evaluation Protocol=Fully fine-tuning2022.0167.4
ELOModality=A, OF, Length (K)=115.0, Evaluation Protocol=Full2022.0467.4
MMV (Audio, Text)Modality=Video + Audio + Text, Pre-training video length (kilo hours)=139.8, Evaluation Protocol=Linear2022.0167.1
MMVModality=A, T, Length (K)=139.8, Evaluation Protocol=Linear2022.0467.1
XDCArchitecture=R(2+1)D-18, Pretraining Dataset=IG-Random2019.1166.5
Two-Stream I3DNumber of Parameters=25M2021.0466.4
I3D2022.0366.4
FrozenModality=Video + Text, Pre-training video length (kilo hours)=13.0, Evaluation Protocol=Fully fine-tuning2022.0166.3
FrozenModality=T, Length (K)=13.0, Evaluation Protocol=Full2022.0466.3
BridgeFormerModality=Video + Text, Pre-training video length (kilo hours)=13.0, Evaluation Protocol=Linear2022.0165.8
TVTSv2-HSetting=12 x 224, Protocol=Linear probing2024.0365.7
Two-stream fusion2022.0365.4
MILESModality=T, Length (K)=13.0, Evaluation Protocol=Linear2022.0465.4
Fully supervisedArchitecture=R(2+1)D-18, Pretraining Dataset=Kinetics2019.1165.1
TSMBackbone=ResNet50, Pre-train=Kinetics, Implementation=our impl., #Frames=12021.0365.1
TSNBackbone=ResNet50, Pre-train=Kinetics, #Frames=82021.0364.7
ELOModality=Video + Audio + Optical Flow, Pre-training video length (kilo hours)=115.0, Evaluation Protocol=Linear2022.0164.5
ELOModality=A, OF, Length (K)=115.0, Evaluation Protocol=Linear2022.0464.5
CNN + HT-LSTMNumber of Parameters=22M2021.0464.2
CNN + FDHT-LSTMNumber of Parameters=22M2021.0464.2
CNN + TR-LSTMNumber of Parameters=39M2021.0463.8
XDCArchitecture=R(2+1)D-18, Pretraining Dataset=AudioSet2019.1163.7
MVCGCModality=Video + Motion Vector, Pre-training video length (kilo hours)=1.8, Evaluation Protocol=Fully fine-tuning2022.0163.4
MVCGCModality=MV, Length (K)=1.8, Evaluation Protocol=Full2022.0463.4
VATTModality=Video + Audio + Text, Pre-training video length (kilo hours)=139.8, Evaluation Protocol=Linear2022.0163.3
VATTModality=A, T, Length (K)=139.8, Evaluation Protocol=Linear2022.0463.3
TDD + FVNumber of Parameters=117M2021.0463.2
XDC_KModality=Video + Audio, Pre-training video length (kilo hours)=188.3, Evaluation Protocol=Fully fine-tuning2022.0163.1
XDC_KModality=A, Length (K)=188.3, Evaluation Protocol=Full2022.0463.1
CNN + LSTMNumber of Parameters=55M2021.0462.9
COCLRModality=Video + Optical Flow, Pre-training video length (kilo hours)=1.8, Evaluation Protocol=Fully fine-tuning2022.0162.9
COCLRModality=OF, Length (K)=1.8, Evaluation Protocol=Full2022.0462.9
VGG + Two-Stream FusionNumber of Parameters=181M2021.0462.1
IDTUses Flow?=Yes2020.0861.7
CtPPre-training Dataset=K400, Architecture=R(2+1)D2021.0561.7
FrozenModality=Video + Text, Pre-training video length (kilo hours)=13.0, Evaluation Protocol=Linear2022.0161.3
FrozenModality=T, Length (K)=13.0, Evaluation Protocol=Linear2022.0461.3
XDC_RModality=Video + Audio, Pre-training video length (kilo hours)=188.3, Evaluation Protocol=Fully fine-tuning2022.0161.2
XDC_RModality=A, Length (K)=188.3, Evaluation Protocol=Full2022.0461.2
MIL-NCEArchitecture=S3D, Pretraining Dataset=HowTo100M2019.1161
Two-StreamUses Flow?=Yes, Extra Training Data=ImageNet2020.0859.4
MIL-NCEModality=Video + Text, Pre-training video length (kilo hours)=134.5, Evaluation Protocol=Fully fine-tuning2022.0159.2
MIL-NCEModality=T, Length (K)=134.5, Evaluation Protocol=Full2022.0459.2
COVIARModality=Compressed Domain2022.0359.1
IMP-MoE-LPPT=350M, TPU-DAYS=1.5k, Zero-shot=true2023.0559.1
VideoCoCaPPT=2B, TPU-DAYS=10.5k, Zero-shot=true2023.0558.6
AVTS+Architecture=R(2+1)D-18, Pretraining Dataset=AudioSet, Evaluation Protocol=10 uniformly-sampled clips2019.1158.1
AVTS*Architecture=MC3-18, Pretraining Dataset=AudioSet, Evaluation Protocol=Without dense prediction (10 clips)2019.1157.3
VIFI-CLIPMode=Zero-shot, VideoPrompter=true2023.1057.12
CtPPre-training Dataset=UCF, Architecture=R(2+1)D2021.0557.1