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Made to Order: Discovering monotonic temporal changes via
  self-supervised video ordering

Made to Order: Discovering monotonic temporal changes via self-supervised video ordering

25 April 2024
Charig Yang
Weidi Xie
Andrew Zisserman
ArXivPDFHTML

Papers citing "Made to Order: Discovering monotonic temporal changes via self-supervised video ordering"

5 / 5 papers shown
Title
Learning by Sorting: Self-supervised Learning with Group Ordering
  Constraints
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
Nina Shvetsova
Felix Petersen
Anna Kukleva
Bernt Schiele
Hilde Kuehne
SSL
44
11
0
05 Jan 2023
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
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
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
198
304
0
19 Oct 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
A. Brown
Weidi Xie
Vicky Kalogeiton
Andrew Zisserman
31
162
0
23 Jul 2020
1