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Ladder Siamese Network: a Method and Insights for Multi-level
  Self-Supervised Learning

Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning

25 November 2022
Ryota Yoshihashi
Shuhei Nishimura
Dai Yonebayashi
Yuya Otsuka
Tomohiro Tanaka
Takashi Miyazaki
    SSL
ArXivPDFHTML

Papers citing "Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning"

50 / 66 papers shown
Title
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
53
5
0
23 Oct 2022
VICRegL: Self-Supervised Learning of Local Visual Features
VICRegL: Self-Supervised Learning of Local Visual Features
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
53
121
0
04 Oct 2022
Unsupervised Visual Representation Learning by Synchronous Momentum
  Grouping
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
Bo Pang
Yifan Zhang
Yaoyi Li
Jia Cai
Cewu Lu
SSL
41
27
0
13 Jul 2022
Contrastive Deep Supervision
Contrastive Deep Supervision
Linfeng Zhang
Xin Chen
Junbo Zhang
Runpei Dong
Kaisheng Ma
82
28
0
12 Jul 2022
Rethinking the Augmentation Module in Contrastive Learning: Learning
  Hierarchical Augmentation Invariance with Expanded Views
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views
Junbo Zhang
Kaisheng Ma
50
44
0
01 Jun 2022
Exploring Plain Vision Transformer Backbones for Object Detection
Exploring Plain Vision Transformer Backbones for Object Detection
Yanghao Li
Hanzi Mao
Ross B. Girshick
Kaiming He
ViT
52
789
0
30 Mar 2022
Learning Where to Learn in Cross-View Self-Supervised Learning
Learning Where to Learn in Cross-View Self-Supervised Learning
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
SSL
27
42
0
28 Mar 2022
Dense Siamese Network for Dense Unsupervised Learning
Dense Siamese Network for Dense Unsupervised Learning
Wenwei Zhang
Jiangmiao Pang
Kai-xiang Chen
Chen Change Loy
52
13
0
21 Mar 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
Renhao Wang
Hang Zhao
Yang Gao
SSL
53
1
0
17 Mar 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
64
87
0
16 Mar 2022
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
Zhaowen Li
Yousong Zhu
Fan Yang
Wei Li
Chaoyang Zhao
...
Jiahao Xie
Liwei Wu
Rui Zhao
Ming Tang
Jinqiao Wang
36
36
0
14 Mar 2022
Exploring the Equivalence of Siamese Self-Supervised Learning via A
  Unified Gradient Framework
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Chenxin Tao
Honghui Wang
Xizhou Zhu
Jiahua Dong
S. Song
Gao Huang
Jifeng Dai
SSL
52
60
0
09 Dec 2021
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
Yufei Xu
Qiming Zhang
Jing Zhang
Dacheng Tao
SSL
95
18
0
24 Nov 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised
  Learning
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
47
29
0
27 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
103
342
0
18 Oct 2021
Dense Semantic Contrast for Self-Supervised Visual Representation
  Learning
Dense Semantic Contrast for Self-Supervised Visual Representation Learning
Xiaoni Li
Yu Zhou
Yifei Zhang
Aoting Zhang
Wei Wang
Ning Jiang
Haiying Wu
Weiping Wang
SSL
42
40
0
16 Sep 2021
Do Vision Transformers See Like Convolutional Neural Networks?
Do Vision Transformers See Like Convolutional Neural Networks?
M. Raghu
Thomas Unterthiner
Simon Kornblith
Chiyuan Zhang
Alexey Dosovitskiy
ViT
98
938
0
19 Aug 2021
Hierarchical Self-supervised Augmented Knowledge Distillation
Hierarchical Self-supervised Augmented Knowledge Distillation
Chuanguang Yang
Zhulin An
Linhang Cai
Yongjun Xu
SSL
44
77
0
29 Jul 2021
Exploring Set Similarity for Dense Self-supervised Representation
  Learning
Exploring Set Similarity for Dense Self-supervised Representation Learning
Zhaoqing Wang
Qiang Li
Guoxin Zhang
Pengfei Wan
Wen Zheng
N. Wang
Biwei Huang
Tongliang Liu
SSL
44
44
0
19 Jul 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei
Yue Gao
Zhirong Wu
Han Hu
Stephen Lin
ObjD
41
144
0
04 Jun 2021
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
158
190
0
02 May 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
127
1,837
0
05 Apr 2021
Rethinking Spatial Dimensions of Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Byeongho Heo
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Junsuk Choe
Seong Joon Oh
ViT
472
573
0
30 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
295
21,051
0
25 Mar 2021
Region Similarity Representation Learning
Region Similarity Representation Learning
Tete Xiao
Colorado Reed
Xiaolong Wang
Kurt Keutzer
Trevor Darrell
VLM
SSL
49
117
0
24 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLM
SSL
52
163
0
19 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
221
2,321
0
04 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
440
3,660
0
24 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
62
45
0
13 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
170
282
0
12 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
57
319
0
09 Feb 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
181
3,992
0
20 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised
  Visual Representation Learning
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie
Yutong Lin
Zheng Zhang
Yue Cao
Stephen Lin
Han Hu
SSL
84
412
0
19 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
55
675
0
18 Nov 2020
Hierarchical Contrastive Motion Learning for Video Action Recognition
Hierarchical Contrastive Motion Learning for Video Action Recognition
Xitong Yang
Xiaodong Yang
Sifei Liu
Deqing Sun
L. Davis
Jan Kautz
SSL
50
13
0
20 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
146
4,032
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
265
6,718
0
13 Jun 2020
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
73
1,313
0
20 May 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
418
3,397
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
194
18,523
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
101
11,959
0
13 Nov 2019
A Theoretical Analysis of Contrastive Unsupervised Representation
  Learning
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora
H. Khandeparkar
M. Khodak
Orestis Plevrakis
Nikunj Saunshi
SSL
86
768
0
25 Feb 2019
Rethinking ImageNet Pre-training
Rethinking ImageNet Pre-training
Kaiming He
Ross B. Girshick
Piotr Dollár
VLM
SSeg
98
1,081
0
21 Nov 2018
Cross-connected Networks for Multi-task Learning of Detection and
  Segmentation
Cross-connected Networks for Multi-task Learning of Detection and Segmentation
Seiichiro Fukuda
Ryota Yoshihashi
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
25
16
0
15 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
146
3,437
0
05 May 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
192
3,272
0
21 Mar 2018
Large Batch Training of Convolutional Networks
Large Batch Training of Convolutional Networks
Yang You
Igor Gitman
Boris Ginsburg
ODL
104
842
0
13 Aug 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
102
2,378
0
10 Jul 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
298
27,018
0
20 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
413
21,951
0
09 Dec 2016
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