VideoLT: Large-scale Long-tailed Video Recognition
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48 Sub-level Entities

Large-scale

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DOWNLOAD

V1.0 is available now! Wanna take a try? : )

Annotation Raw Videos (2.1T)


Describe:

  • ResNet-50, ResNet-101 and TSM(ResNet-50) features are of size [150, 2048] for each video (frames: 150, feature size: 2048).

  • ResNet-50 and ResNet-101 features are pretrained on ImageNet, TSM(ResNet-50) feature is pretrained on Kinetics.

  • Annotation format:

    train.lst, validate.lst, test.lst 

                            
vid label_id
xYjQkWxF8h0 126
GtDLgqe-qiM 382
u9KATdP5bNo 369
04qmkPTuRmQ 155
BFh8aa7asvw 745
6U4SxTJ71Xk 425
_7iRdKirjIk 282
QRgUdZUyu1U 722
...

    count-labels-train.lst 

                                
label label_id num
3DPainting 0 137.0
3DPrinter 1 308.0
ACappella 2 87.0
ATM 3 60.0
AngkorWat 4 233.0
BabyLearningToEatWithSpoon 5 212.0
BigBen 6 102.0
ChineseBrushWriting 7 117.0
...

News:

  • (04/25/2021) VideoLT v1.0 is released, download link coming soon...
  • [Important] Currently, VideoLT can only be accessed by sending us an e-mail: zhangxing18@fudan.edu.cn.


    • Features:

    ResNet-50 Feature (295G) ResNet-101 Feature (295G) TSM(ResNet-50) Feature (295G)



    Citation:

    If VideoLT helps your work, please consider citing:

                        
@misc{zhang2021videolt,
title={VideoLT: Large-scale Long-tailed Video Recognition}, 
author={Xing Zhang and Zuxuan Wu and Zejia Weng and Huazhu Fu and Jingjing Chen and Yu-Gang Jiang and Larry Davis},
year={2021},
eprint={2105.02668},
archivePrefix={arXiv},
primaryClass={cs.CV}
}