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Bootstrap your own latent: A new approach to self-supervised Learning

Bootstrap your own latent: A new approach to self-supervised Learning

13 June 2020
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
Elena Buchatskaya
Carl Doersch
Bernardo Avila-Pires
Z. Guo
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
    SSL
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Papers citing "Bootstrap your own latent: A new approach to self-supervised Learning"

50 / 3,817 papers shown
Title
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Jichuan Zhang
Yali Li
Xin Liu
Shengjin Wang
DiffM
41
0
0
06 Aug 2024
Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem
  Compatibility Estimation
Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation
Alain Riou
Stefan Lattner
Gaëtan Hadjeres
Michael Anslow
Geoffroy Peeters
40
2
0
05 Aug 2024
Contrastive Learning and Abstract Concepts: The Case of Natural Numbers
Contrastive Learning and Abstract Concepts: The Case of Natural Numbers
Daniel N. Nissani
SSL
19
0
0
05 Aug 2024
Unsupervised Representation Learning by Balanced Self Attention Matching
Unsupervised Representation Learning by Balanced Self Attention Matching
Daniel Shalam
Simon Korman
SSL
38
0
0
04 Aug 2024
Masked Angle-Aware Autoencoder for Remote Sensing Images
Masked Angle-Aware Autoencoder for Remote Sensing Images
Zhihao Li
B. Hou
Siteng Ma
Zitong Wu
Xianpeng Guo
Bo Ren
Licheng Jiao
43
11
0
04 Aug 2024
Downstream Transfer Attack: Adversarial Attacks on Downstream Models
  with Pre-trained Vision Transformers
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers
Weijie Zheng
Xingjun Ma
Hanxun Huang
Zuxuan Wu
Yu-Gang Jiang
AAML
32
0
0
03 Aug 2024
POA: Pre-training Once for Models of All Sizes
POA: Pre-training Once for Models of All Sizes
Yingying Zhang
Xin Guo
Jiangwei Lao
Lei Yu
Lixiang Ru
Jian Wang
Guo Ye
Huimei He
Jingdong Chen
Ming Yang
65
1
0
02 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in
  Pathology
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Eric Zimmermann
Eugene Vorontsov
Julian Viret
Adam Casson
Michal Zelechowski
...
Razik Yousfi
Thomas J. Fuchs
Nicolò Fusi
Siqi Liu
Kristen Severson
MedIm
33
29
0
01 Aug 2024
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data
  for 3D-Native Segmentation
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation
Asbjorn Munk
Jakob Ambsdorf
S. Llambias
Mads Nielsen
30
4
0
01 Aug 2024
What comes after transformers? -- A selective survey connecting ideas in
  deep learning
What comes after transformers? -- A selective survey connecting ideas in deep learning
Johannes Schneider
AI4CE
35
2
0
01 Aug 2024
Leveraging Self-Supervised Learning for Fetal Cardiac Planes
  Classification using Ultrasound Scan Videos
Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos
Joseph Geo Benjamin
Mothilal Asokan
Amna Alhosani
Hussain Alasmawi
Werner Gerhard Diehl
Leanne Bricker
Karthik Nandakumar
Mohammad Yaqub
32
0
0
31 Jul 2024
ProSpec RL: Plan Ahead, then Execute
ProSpec RL: Plan Ahead, then Execute
Liangliang Liu
Huiyu Duan
Liu Yang
Rujia Shen
Yi Lin
Chaoran Kong
Lian Yan
P. Callet
OffRL
35
0
0
31 Jul 2024
Image Re-Identification: Where Self-supervision Meets Vision-Language
  Learning
Image Re-Identification: Where Self-supervision Meets Vision-Language Learning
Bin Wang
Yuying Liang
Lei Cai
Huakun Huang
Huanqiang Zeng
VLM
LRM
32
0
0
30 Jul 2024
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
Yuanwen Yue
Anurag Das
Francis Engelmann
Siyu Tang
J. E. Lenssen
48
24
0
29 Jul 2024
Deep Companion Learning: Enhancing Generalization Through Historical
  Consistency
Deep Companion Learning: Enhancing Generalization Through Historical Consistency
Ruizhao Zhu
Venkatesh Saligrama
FedML
29
0
0
26 Jul 2024
A Survey on Cell Nuclei Instance Segmentation and Classification:
  Leveraging Context and Attention
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
João D. Nunes
D. Montezuma
Domingos Oliveira
Tania Pereira
Jaime S. Cardoso
49
1
0
26 Jul 2024
FedUD: Exploiting Unaligned Data for Cross-Platform Federated
  Click-Through Rate Prediction
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
Wentao Ouyang
Rui Dong
Ri Tao
Xiangzheng Liu
FedML
23
2
0
26 Jul 2024
DINOv2 Rocks Geological Image Analysis: Classification, Segmentation,
  and Interpretability
DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and Interpretability
Florent Brondolo
Samuel Beaussant
AI4CE
26
0
0
25 Jul 2024
Balancing Complementarity and Consistency via Delayed Activation in
  Incomplete Multi-view Clustering
Balancing Complementarity and Consistency via Delayed Activation in Incomplete Multi-view Clustering
Bo Li
29
1
0
25 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
47
1
0
25 Jul 2024
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Qing Su
Shihao Ji
26
0
0
24 Jul 2024
PEEKABOO: Hiding parts of an image for unsupervised object localization
PEEKABOO: Hiding parts of an image for unsupervised object localization
Hasib Zunair u
24 A.BenHamza
SSL
36
0
0
24 Jul 2024
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
A. Atienza
J. Bardram
S. Puthusserypady
BDL
AI4TS
33
2
0
24 Jul 2024
SINDER: Repairing the Singular Defects of DINOv2
SINDER: Repairing the Singular Defects of DINOv2
Haoqian Wang
Tong Zhang
Mathieu Salzmann
34
1
0
23 Jul 2024
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data
Adrian Remonda
Nicklas Hansen
Ayoub Raji
Nicola Musiu
Marko Bertogna
Eduardo E. Veas
Xiaolong Wang
40
5
0
23 Jul 2024
COALA: A Practical and Vision-Centric Federated Learning Platform
COALA: A Practical and Vision-Centric Federated Learning Platform
Weiming Zhuang
Jian Xu
Chen Chen
Jingtao Li
Lingjuan Lyu
VLM
FedML
76
4
0
23 Jul 2024
Towards Latent Masked Image Modeling for Self-Supervised Visual
  Representation Learning
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning
Yibing Wei
Abhinav Gupta
Pedro Morgado
SSL
47
7
0
22 Jul 2024
Learning to Manipulate Anywhere: A Visual Generalizable Framework For
  Reinforcement Learning
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning
Zhecheng Yuan
Tianming Wei
Shuiqi Cheng
Gu Zhang
Yuanpei Chen
Huazhe Xu
48
22
0
22 Jul 2024
Offline Imitation Learning Through Graph Search and Retrieval
Offline Imitation Learning Through Graph Search and Retrieval
Zhao-Heng Yin
Pieter Abbeel
OffRL
45
3
0
22 Jul 2024
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and
  Semantically-Rich Vision-Language Models
Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models
Md Zarif Hossain
Ahmed Imteaj
VLM
AAML
39
4
0
20 Jul 2024
On Learning Discriminative Features from Synthesized Data for
  Self-Supervised Fine-Grained Visual Recognition
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
Zihu Wang
Lingqiao Liu
Scott Ricardo Figueroa Weston
Samuel Tian
Peng Li
33
2
0
19 Jul 2024
Advancing Melanoma Diagnosis with Self-Supervised Neural Networks:
  Evaluating the Effectiveness of Different Techniques
Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
Srivishnu Vusirikala
Suraj Rajendran
SSL
9
0
0
19 Jul 2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled
  Perspective
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
Zeen Song
Jingyao Wang
Jianqi Zhang
Changwen Zheng
Wenwen Qiang
SSL
62
0
0
19 Jul 2024
Temporal Representation Learning for Stock Similarities and Its
  Applications in Investment Management
Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management
Yoon-Jeong Hwang
Stefan Zohren
Yongjae Lee
AIFin
38
1
0
18 Jul 2024
ColorMAE: Exploring data-independent masking strategies in Masked
  AutoEncoders
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders
Carlos Hinojosa
Shuming Liu
Bernard Ghanem
26
2
0
17 Jul 2024
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time
  Adaptation in Prostate Cancer Detection
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection
Mahdi Gilany
Mohamed Harmanani
P. Wilson
Minh Nguyen Nhat To
A. Jamzad
Fahimeh Fooladgar
Brian Wodlinger
Purang Abolmaesumi
Parvin Mousavi
OOD
33
0
0
17 Jul 2024
Missing Modality Prediction for Unpaired Multimodal Learning via Joint
  Embedding of Unimodal Models
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
Donggeun Kim
Taesup Kim
26
4
0
17 Jul 2024
Progressive Proxy Anchor Propagation for Unsupervised Semantic
  Segmentation
Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation
Hyun Seok Seong
WonJun Moon
Subeen Lee
Jae-Pil Heo
40
0
0
17 Jul 2024
VideoClusterNet: Self-Supervised and Adaptive Clustering For Videos
VideoClusterNet: Self-Supervised and Adaptive Clustering For Videos
Devesh Walawalkar
Pablo Garrido
CVBM
44
0
0
16 Jul 2024
A Closer Look at Benchmarking Self-Supervised Pre-training with Image
  Classification
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification
Markus Marks
Manuel Knott
Neehar Kondapaneni
Elijah Cole
T. Defraeye
Fernando Pérez-Cruz
Pietro Perona
SSL
45
2
0
16 Jul 2024
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Mitigating Background Shift in Class-Incremental Semantic Segmentation
Gilhan Park
WonJun Moon
Subeen Lee
Tae-Young Kim
Jae-Pil Heo
CLL
VLM
31
0
0
16 Jul 2024
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded
  Scenes
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes
Zhi Cai
Yingjie Gao
Yaoyan Zheng
Nan Zhou
Di Huang
VLM
44
5
0
16 Jul 2024
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp
  Diagnosis
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
Ruijie Yang
Yan Zhu
Peiyao Fu
Yizhe Zhang
Zhihua Wang
Quanlin Li
Pinghong Zhou
Xian Yang
Shuo Wang
MedIm
29
0
0
16 Jul 2024
Efficient Unsupervised Visual Representation Learning with Explicit
  Cluster Balancing
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
Ioannis Maniadis Metaxas
Georgios Tzimiropoulos
Ioannis Patras
SSL
29
0
0
15 Jul 2024
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton
  Sequences
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
Soroush Mehraban
Mohammad Javad Rajabi
Babak Taati
3DPC
29
0
0
15 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective
  Methods
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods
Junhong Lin
Xiaojie Guo
Shuaicheng Zhang
Dawei Zhou
Yada Zhu
Julian Shun
38
1
0
15 Jul 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label
  Backdoor Attacks
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
Quang H. Nguyen
Nguyen Ngoc-Hieu
The-Anh Ta
Thanh Nguyen-Tang
Kok-Seng Wong
Hoang Thanh-Tung
Khoa D. Doan
AAML
33
2
0
15 Jul 2024
Joint-Embedding Predictive Architecture for Self-Supervised Learning of
  Mask Classification Architecture
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
Donghee Kim
Sungduk Cho
Hyeonwoo Cho
Chanmin Park
Jinyoung Kim
Won Hwa Kim
50
0
0
15 Jul 2024
Enhancing Weakly-Supervised Histopathology Image Segmentation with
  Knowledge Distillation on MIL-Based Pseudo-Labels
Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labels
Yinsheng He
Xingyu Li
Roger J. Zemp
VLM
38
0
0
14 Jul 2024
MutDet: Mutually Optimizing Pre-training for Remote Sensing Object
  Detection
MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection
Ziyue Huang
Yongchao Feng
Qingjie Liu
Yunhong Wang
ViT
64
1
0
13 Jul 2024
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