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Action Recognition on FogAct 1.0 (test)

88.7Top-1 AccuracyOurs ViT-B/16
7.99628.94849.970.852May 20, 2026

Evaluation results

MethodLinks
Ours ViT-B/16Venue=2025, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, GFLOPs=143, Param=146.92026.0588.799.4
PTTD + OSTVenue=ECCV’24, Input=8×224^2, Pre-training=FogAct, Views=1×1, Param=152.22026.0585.498.8
PTTD + OSTVenue=ECCV’24, Input=8×224^2, Pre-training=DIV&Flickr, Views=1×1, Param=152.22026.0585.298.2
LDR + OSTVenue=CVPR’24, Input=8×224^2, Pre-training=All-weather, Views=1×1, GFLOPs=776, Param=163.62026.0583.398.6
OST ViT-B/16Venue=CVPR’24, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, GFLOPs=141, Param=149.62026.0583.298.9
AIM ViT-B/16Venue=ICLR’23, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, GFLOPs=202, Param=96.42026.0580.398
ViFi-CLIP ViT-B/16Venue=CVPR’23, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, GFLOPs=141, Param=124.72026.0578.497.7
ActionCLIP ViT-B/16Venue=TNNLS’23, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, GFLOPs=141, Param=141.72026.057595.7
SFAR ViT-B/16Venue=NeurIPS’25, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, GFLOPs=90.2, Param=126.12026.0573.695.4
ATM ViT-B/16Venue=ICCV’23, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, GFLOPs=95, Param=87.82026.0573.294.5
TC-CLIP ViT-B/16Venue=ECCV’24, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, Param=127.52026.0571.595
X-CLIP ViT-B/16Venue=ECCV’22, Input=8×224^2, Pre-training=Kinetics-400, Views=1×1, GFLOPs=145, Param=131.52026.0567.492.8
UCL + OSTVenue=TIP’24, Input=8×224^2, Pre-training=Unsupervised, Views=1×1, Param=169.12026.055886.9
M2-CLIP ViT-B/16Venue=AAAI’24, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, GFLOPs=214, Param=1652026.0556.588.8
DINO-v2Venue=arXiv’23, Input=8×224^2, Pre-training=LVD-142M, Views=1×1, Param=86.62026.0545.474.2
LLaMa-VIDVenue=ECCV’24, Input=8×224^2, Pre-training=LLaVA1.5-VI, Param=70002026.0526.2—
Vita-CLIP ViT-B/16Venue=CVPR’23, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, GFLOPs=97, Param=161.82026.0518.843.8
BIKE ViT-B/16Venue=CVPR’23, Input=8×224^2, Pre-training=WIT-400M, Views=1×1, Param=124.12026.0513.419.5
VideoMAE ViT-B/16Venue=NeurIPS’22, Input=8×224^2, Pre-training=Kinetics-400, Views=1×1, GFLOPs=90, Param=872026.0511.131.1