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It Takes Two: Masked Appearance-Motion Modeling for Self-supervised
  Video Transformer Pre-training

It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training

11 October 2022
Yuxin Song
Min Yang
Wenhao Wu
Dongliang He
Fu Li
Jingdong Wang
    ViT
ArXivPDFHTML

Papers citing "It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training"

7 / 7 papers shown
Title
Revisiting Classifier: Transferring Vision-Language Models for Video
  Recognition
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
Wenhao Wu
Zhun Sun
Wanli Ouyang
VLM
87
93
0
04 Jul 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text
  Understanding
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
Hu Xu
Gargi Ghosh
Po-Yao (Bernie) Huang
Dmytro Okhonko
Armen Aghajanyan
Florian Metze
Luke Zettlemoyer
Florian Metze Luke Zettlemoyer Christoph Feichtenhofer
CLIP
VLM
245
554
0
28 Sep 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
Is Space-Time Attention All You Need for Video Understanding?
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius
Heng Wang
Lorenzo Torresani
ViT
278
1,939
0
09 Feb 2021
MVFNet: Multi-View Fusion Network for Efficient Video Recognition
MVFNet: Multi-View Fusion Network for Efficient Video Recognition
Wenhao Wu
Dongliang He
Tianwei Lin
Fu Li
Chuang Gan
Errui Ding
85
68
0
13 Dec 2020
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
198
371
0
19 Oct 2020
1