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Distilling Localization for Self-Supervised Representation Learning

Distilling Localization for Self-Supervised Representation Learning

14 April 2020
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
    SSL
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Papers citing "Distilling Localization for Self-Supervised Representation Learning"

12 / 12 papers shown
Title
Rethinking the Localization in Weakly Supervised Object Localization
Rethinking the Localization in Weakly Supervised Object Localization
Rui Xu
Yong Luo
Han Hu
Bo Du
Jialie Shen
Yonggang Wen
WSOL
25
3
0
11 Aug 2023
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for
  Urban-Scene Segmentation
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation
Liang Zeng
A. Lengyel
Nergis Tomen
J. C. V. Gemert
AI4TS
19
0
0
25 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang
Yanchao Sun
Jiahao Su
Fengxiang He
Xinmei Tian
Furong Huang
Tianyi Zhou
Dacheng Tao
25
13
0
02 Nov 2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in
  Pathology Images
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
Jiawei Yang
Hanbo Chen
Yuan Liang
Junzhou Huang
Lei He
Jianhua Yao
30
18
0
14 Jul 2022
Extreme Masking for Learning Instance and Distributed Visual
  Representations
Extreme Masking for Learning Instance and Distributed Visual Representations
Zhirong Wu
Zihang Lai
Xiao Sun
Stephen Lin
30
22
0
09 Jun 2022
CoDo: Contrastive Learning with Downstream Background Invariance for
  Detection
CoDo: Contrastive Learning with Downstream Background Invariance for Detection
Bing Zhao
Jun Li
Hong Zhu
SSL
24
2
0
10 May 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
33
87
0
16 Mar 2022
Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
66
80
0
13 Jan 2022
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
24
9
0
23 Mar 2021
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
11
1,302
0
20 May 2020
FairMOT: On the Fairness of Detection and Re-Identification in Multiple
  Object Tracking
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
Yifu Zhang
Chunyu Wang
Xinggang Wang
Wenjun Zeng
Wenyu Liu
VOT
28
1,302
0
04 Apr 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,367
0
09 Mar 2020
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