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Masked Feature Modelling: Feature Masking for the Unsupervised
  Pre-training of a Graph Attention Network Block for Bottom-up Video Event
  Recognition

Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition

24 August 2023
Dimitrios Daskalakis
Nikolaos Gkalelis
Vasileios Mezaris
ArXivPDFHTML

Papers citing "Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition"

32 / 32 papers shown
Title
Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using
  a New Frame Selection Policy and Gating Mechanism
Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism
Nikolaos Gkalelis
Dimitrios Daskalakis
Vasileios Mezaris
36
4
0
18 Jan 2023
MAGVIT: Masked Generative Video Transformer
MAGVIT: Masked Generative Video Transformer
Lijun Yu
Yong Cheng
Kihyuk Sohn
José Lezama
Han Zhang
...
Alexander G. Hauptmann
Ming-Hsuan Yang
Yuan Hao
Irfan Essa
Lu Jiang
DiffM
VGen
58
241
0
10 Dec 2022
AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition
AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition
Yulin Wang
Yang Yue
Xin-Wen Xu
Ali Hassani
V. Kulikov
Nikita Orlov
S. Song
Humphrey Shi
Gao Huang
46
17
0
27 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for
  vision based Deep Reinforcement Learning
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão
Arlindo L. Oliveira
ViT
96
6
0
22 Sep 2022
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
Zhiliang Peng
Li Dong
Hangbo Bao
QiXiang Ye
Furu Wei
62
319
0
12 Aug 2022
NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition
NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition
Boyang Xia
Wenhao Wu
Haoran Wang
Rui Su
Dongliang He
Haosen Yang
Xiaoran Fan
Wanli Ouyang
69
22
0
21 Jul 2022
ViGAT: Bottom-up event recognition and explanation in video using
  factorized graph attention network
ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network
Nikolaos Gkalelis
Dimitrios Daskalakis
Vasileios Mezaris
39
10
0
20 Jul 2022
OmniMAE: Single Model Masked Pretraining on Images and Videos
OmniMAE: Single Model Masked Pretraining on Images and Videos
Rohit Girdhar
Alaaeldin El-Nouby
Mannat Singh
Kalyan Vasudev Alwala
Armand Joulin
Ishan Misra
ViT
66
99
0
16 Jun 2022
Green Hierarchical Vision Transformer for Masked Image Modeling
Green Hierarchical Vision Transformer for Masked Image Modeling
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
101
72
0
26 May 2022
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision
  Transformers with Locality
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality
Xiang Li
Wenhai Wang
Lingfeng Yang
Jian Yang
158
74
0
20 May 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
90
395
0
07 Feb 2022
Detecting Twenty-thousand Classes using Image-level Supervision
Detecting Twenty-thousand Classes using Image-level Supervision
Xingyi Zhou
Rohit Girdhar
Armand Joulin
Phillip Krahenbuhl
Ishan Misra
CLIP
VLM
101
614
0
07 Jan 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
141
668
0
16 Dec 2021
SimMIM: A Simple Framework for Masked Image Modeling
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Qi Dai
Han Hu
185
1,352
0
18 Nov 2021
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
454
7,739
0
11 Nov 2021
Towards Long-Form Video Understanding
Towards Long-Form Video Understanding
Chaoxia Wu
Philipp Krahenbuhl
VLM
ViT
111
169
0
21 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
258
2,824
0
15 Jun 2021
SiT: Self-supervised vIsion Transformer
SiT: Self-supervised vIsion Transformer
Sara Atito Ali Ahmed
Muhammad Awais
J. Kittler
ViT
65
139
0
08 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
154
1,862
0
05 Apr 2021
ViViT: A Video Vision Transformer
ViViT: A Video Vision Transformer
Anurag Arnab
Mostafa Dehghani
G. Heigold
Chen Sun
Mario Lucic
Cordelia Schmid
ViT
215
2,149
0
29 Mar 2021
Cluster-based Input Weight Initialization for Echo State Networks
Cluster-based Input Weight Initialization for Echo State Networks
Peter Steiner
A. Jalalvand
P. Birkholz
32
14
0
08 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
909
29,372
0
26 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
365
2,048
0
09 Feb 2021
Video Transformer Network
Video Transformer Network
Daniel Neimark
Omri Bar
Maya Zohar
Dotan Asselmann
ViT
264
432
0
01 Feb 2021
Switch Transformers: Scaling to Trillion Parameter Models with Simple
  and Efficient Sparsity
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
W. Fedus
Barret Zoph
Noam M. Shazeer
MoE
85
2,181
0
11 Jan 2021
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,770
0
11 Oct 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
312
10,284
0
10 Jul 2018
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in
  Video Classification
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie
Chen Sun
Jonathan Huang
Zhuowen Tu
Kevin Patrick Murphy
3DH
140
1,329
0
13 Dec 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
229
8,015
0
22 May 2017
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,293
0
25 Apr 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
499
62,270
0
04 Jun 2015
The YLI-MED Corpus: Characteristics, Procedures, and Plans
The YLI-MED Corpus: Characteristics, Procedures, and Plans
Julia Bernd
Damian Borth
Benjamin Elizalde
Gerald Friedland
Heather Gallagher
L. Gottlieb
Adam L. Janin
Sara Karabashlieva
J. Takahashi
Jennifer Won
MedIm
34
25
0
13 Mar 2015
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