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Action Recognition on Epic Kitchens 100

48Top-1 AccOmniMAE
11.621.0530.539.95Mar 21, 2021Nov 21, 2021Jul 24, 2022Mar 27, 2023Nov 27, 2023Jul 29, 2024Apr 1, 2025

Evaluation results

MethodLinks
OmniMAEArch.=ViT-H, Pretrain Data=IN1K + SSv22022.0648——————
MoViNet-A6GFLOPS=117, PARAM=31.4M, Frames=32, FPS=122021.0347.7——————
OmniMAEArch.=ViT-L, Pretrain Data=IN1K + SSv22022.0645.1——————
MoViNet-A5GFLOPS=74.9, PARAM=15.7M, Frames=32, FPS=122021.0344.5——————
MoViNet-A4GFLOPS=42.2, PARAM=4.9M, Frames=32, FPS=122021.0344.4——————
ViViT-L/16x2GFLOPS=3410, PARAM=100M2021.0344——————
MoViNet-A2GFLOPS=7.59, PARAM=4.8M, Frames=32, FPS=122021.0341.2——————
OmniMAEArch.=ViT-B, Pretrain Data=IN1K + K4002022.0640.3——————
OmniMAEArch.=ViT-B, Pretrain Data=IN1K + SSv22022.0639.3——————
SlowFast2021.0338.5——————
TSM2021.0338.3——————
MoViNet-A0GFLOPS=1.74, PARAM=3.1M, Frames=32, FPS=122021.0336.8——————
SMILEBackbone=ViT-B, Pre-training Dataset=K400, Evaluation Protocol=Linear Probing2025.0434.4——————
SIGMABackbone=ViT-B, Pre-training Dataset=K400, Evaluation Protocol=Linear Probing2025.0434.2——————
TSN2021.0333.2——————
VideoMAEBackbone=ViT-B, Pre-training Dataset=K400, Evaluation Protocol=Linear Probing2025.0433.2——————
MGMAEBackbone=ViT-B, Pre-training Dataset=K400, Evaluation Protocol=Linear Probing2025.0433.2——————
MGMBackbone=ViT-B, Pre-training Dataset=K400, Evaluation Protocol=Linear Probing2025.0432.4——————
SMILE w/o motionBackbone=ViT-B, Pre-training Dataset=K400, Evaluation Protocol=Linear Probing2025.0432.3——————
MMEBackbone=ViT-B, Pre-training Dataset=K400, Evaluation Protocol=Linear Probing2025.0432.2——————
EVERESTBackbone=ViT-B, Pre-training Dataset=K400, Evaluation Protocol=Linear Probing2025.0430.5——————
MVDBackbone=ViT-B, Pre-training Dataset=K400, Evaluation Protocol=Linear Probing2025.0429.7——————
PlayItBackX3GFLOPS=122.82022.1015.929.2—————
Slow-FastGFLOPS=35.12022.1015.428.6—————
Damen et al.GFLOPS=N/A2022.1014.528.2—————
MBT (A)GFLOPS=34.22022.1013——————
AIMv2Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=8 Frames / 2048 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————56.645.6
AIMv2Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=16 Frames / 4096 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————58.346.2
Avion (ViT-B)Extra Pre-training Data=WIT + Ego4D2024.11——49.17059.8——
Avion (ViT-L)Extra Pre-training Data=WIT + Ego4D2024.11——54.47365.4——
CLIPBackbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=8 Frames / 2048 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————52.836.1
DINOv3Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=8 Frames / 2048 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————62.551.7
DINOv3Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=16 Frames / 4096 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————63.251.9
IPL (I3D)Extra Pre-training Data=K4002024.11——4168.651.2——
LaViLa (TSF-B)Extra Pre-training Data=WIT + Ego4D2024.11——46.96958.4——
LaViLa (TSF-L)Extra Pre-training Data=WIT + Ego4D2024.11——517262.9——
LVMAE (ViT-B)Extra Pre-training Data=None2024.11——47.373.156.8——
LVMAE (ViT-B)Extra Pre-training Data=Unlabeled K7102024.11——477356.3——
LVMAE (ViT-L)Extra Pre-training Data=Unlabeled K7102024.11——50.975.559.6——
LVMAE (ViT-L)Extra Pre-training Data=K7102024.11——52.17561.8——
MeMViT-16, 16x4Extra Pre-training Data=K4002024.11——46.270.658.5——
MeMViT-24, 32x3Extra Pre-training Data=K6002024.11——48.471.460.3——
MetaCLIPBackbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=8 Frames / 2048 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————54.137.1
MetaCLIP2Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=8 Frames / 2048 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————4840.9
MetaCLIP2Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=16 Frames / 4096 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————49.243.2
MoViNet-A5Extra Pre-training Data=N/A2024.11——44.569.155.1——
MTV-BExtra Pre-training Data=IN21K2024.11——46.767.860.5——
MTV-B↑280^2Extra Pre-training Data=WTS-60M2024.11——50.569.963.9——
OmnivoreBackbone=Swin-T, Input Modality=RGB2025.12——35.9——62.847.8
Omnivore (Swin-B)Extra Pre-training Data=IN-(21K+1K)+K400+SUN2024.11——49.969.561.7——
OV-Encoder (Codec)Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=8 Frames / 2048 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————62.353.9
OV-Encoder (Codec)Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=16 Frames / 4096 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————63.354.4
OV-Encoder (Frame)Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=8 Frames / 2048 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————61.452.5
OV-Encoder (Frame)Backbone=ViT-L/14, Resolution=224, Input Configuration (Frames/Patches)=16 Frames / 4096 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————62.954.5
SigLIPBackbone=ViT-L/16, Resolution=256, Input Configuration (Frames/Patches)=8 Frames / 2048 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————52.239.1
SigLIPBackbone=ViT-L/16, Resolution=256, Input Configuration (Frames/Patches)=16 Frames / 4096 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————54.140.2
SigLIP2Backbone=ViT-L/16, Resolution=256, Input Configuration (Frames/Patches)=8 Frames / 2048 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————54.243.8
SigLIP2Backbone=ViT-L/16, Resolution=256, Input Configuration (Frames/Patches)=16 Frames / 4096 Patches, Evaluation Protocol (Attentive probe with frozen backbones)=Attentive probe with frozen backbones2026.02—————56.445.2
SlowFastExtra Pre-training Data=K4002024.11——38.565.650——
StudentBackbone=Swin-T, Input Modality=RGB, lambda=1, gamma=302025.12——39.3——65.451.7
TAdaFormer-B/16Extra Pre-training Data=K7102024.11——49.17160.5——
TAdaFormer-L/16Extra Pre-training Data=K7102024.11——51.871.764.1——
ViViT-L/16x2Extra Pre-training Data=IN21K+K4002024.11——4466.456.8——