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Towards Efficient and Effective Self-Supervised Learning of Visual
  Representations

Towards Efficient and Effective Self-Supervised Learning of Visual Representations

18 October 2022
Sravanti Addepalli
Kaushal Bhogale
Priyam Dey
R. Venkatesh Babu
    SSL
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Papers citing "Towards Efficient and Effective Self-Supervised Learning of Visual Representations"

5 / 5 papers shown
Title
LoDisc: Learning Global-Local Discriminative Features for
  Self-Supervised Fine-Grained Visual Recognition
LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition
Jialu Shi
Zhiqiang Wei
Jie Nie
Lei Huang
SSL
37
0
0
06 Mar 2024
On the Effectiveness of Equivariant Regularization for Robust Online
  Continual Learning
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning
Lorenzo Bonicelli
Matteo Boschini
Emanuele Frascaroli
Angelo Porrello
M. Pennisi
Giovanni Bellitto
S. Palazzo
C. Spampinato
Simone Calderara
CLL
24
3
0
05 May 2023
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Johannes Lehner
Benedikt Alkin
Andreas Fürst
Elisabeth Rumetshofer
Lukas Miklautz
Sepp Hochreiter
23
18
0
20 Apr 2023
Contrastive pretraining for semantic segmentation is robust to noisy
  positive pairs
Contrastive pretraining for semantic segmentation is robust to noisy positive pairs
Sebastian Gerard
Josephine Sullivan
24
1
0
24 Nov 2022
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive
  Positive or Negative Data Augmentation
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
Atsuyuki Miyai
Qing Yu
Daiki Ikami
Go Irie
Kiyoharu Aizawa
SSL
30
5
0
23 Oct 2022
1