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Improved Baselines with Momentum Contrastive Learning

Improved Baselines with Momentum Contrastive Learning

9 March 2020
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
    SSL
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Papers citing "Improved Baselines with Momentum Contrastive Learning"

50 / 2,088 papers shown
Title
Accelerating Augmentation Invariance Pretraining
Accelerating Augmentation Invariance Pretraining
Jinhong Lin
Cheng-En Wu
Yibing Wei
Pedro Morgado
ViT
28
1
0
27 Oct 2024
Connecting Joint-Embedding Predictive Architecture with Contrastive
  Self-supervised Learning
Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
Shentong Mo
Shengbang Tong
32
1
0
25 Oct 2024
SRA: A Novel Method to Improve Feature Embedding in Self-supervised
  Learning for Histopathological Images
SRA: A Novel Method to Improve Feature Embedding in Self-supervised Learning for Histopathological Images
Hamid Manoochehri
Bodong Zhang
Beatrice S. Knudsen
Tolga Tasdizen
21
1
0
23 Oct 2024
SigCLR: Sigmoid Contrastive Learning of Visual Representations
SigCLR: Sigmoid Contrastive Learning of Visual Representations
Ömer Veysel Çağatan
18
0
0
22 Oct 2024
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain
  Adaptation Semantic Segmentation in Remote Sensing
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing
Bin Wang
Fei Deng
Shuang Wang
Wen Luo
Zhixuan Zhang
Gulan Zhang
Peifan Jiang
SSL
16
0
0
17 Oct 2024
scFusionTTT: Single-cell transcriptomics and proteomics fusion with
  Test-Time Training layers
scFusionTTT: Single-cell transcriptomics and proteomics fusion with Test-Time Training layers
Dian Meng
Bohao Xing
Xinlei Huang
Yanran Liu
Yijun Zhou
Yongjun xiao
Zitong Yu
Xubin Zheng
26
1
0
17 Oct 2024
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified
  Perspective
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
Yongxin Zhu
B. Li
Hang Zhang
Xin Li
Linli Xu
Lidong Bing
DiffM
27
9
0
16 Oct 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
Hongduan Tian
Feng Liu
Zhanke Zhou
Tongliang Liu
Chengqi Zhang
Bo Han
VLM
32
1
0
16 Oct 2024
Time Series Viewmakers for Robust Disruption Prediction
Time Series Viewmakers for Robust Disruption Prediction
Dhruva Chayapathy
Tavis Siebert
Lucas Spangher
Akshata Kishore Moharir
Om Manoj Patil
Cristina Rea
21
0
0
14 Oct 2024
V2M: Visual 2-Dimensional Mamba for Image Representation Learning
V2M: Visual 2-Dimensional Mamba for Image Representation Learning
Chengkun Wang
Wenzhao Zheng
Yuanhui Huang
Jie Zhou
Jiwen Lu
Mamba
22
0
0
14 Oct 2024
FasterDiT: Towards Faster Diffusion Transformers Training without
  Architecture Modification
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
J. Yao
Wang Cheng
Wenyu Liu
Xinggang Wang
41
8
0
14 Oct 2024
Non-transferable Pruning
Non-transferable Pruning
Ruyi Ding
Lili Su
A. A. Ding
Yunsi Fei
AAML
24
2
0
10 Oct 2024
LaB-CL: Localized and Balanced Contrastive Learning for improving
  parking slot detection
LaB-CL: Localized and Balanced Contrastive Learning for improving parking slot detection
U Jin Jeong
Sumin Roh
Il Yong Chun
19
0
0
10 Oct 2024
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
Haoyi Zhu
Honghui Yang
Yating Wang
Jiange Yang
Limin Wang
Tong He
3DH
43
6
0
10 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
68
62
0
09 Oct 2024
Improving Object Detection via Local-global Contrastive Learning
Improving Object Detection via Local-global Contrastive Learning
Danai Triantafyllidou
Sarah Parisot
A. Leonardis
Steven G. McDonagh
29
0
0
07 Oct 2024
Improving Image Clustering with Artifacts Attenuation via Inference-Time
  Attention Engineering
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering
Kazumoto Nakamura
Yuji Nozawa
Yu-Chieh Lin
K. Nakata
Youyang Ng
ViT
35
1
0
07 Oct 2024
TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio
  Motion Embedding and Diffusion Interpolation
TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation
Haiyang Liu
Xingchao Yang
Tomoya Akiyama
Yuantian Huang
Qiaoge Li
Shigeru Kuriyama
Takafumi Taketomi
VGen
SLR
22
7
0
05 Oct 2024
CktGen: Specification-Conditioned Analog Circuit Generation
CktGen: Specification-Conditioned Analog Circuit Generation
Yuxuan Hou
Jianrong Zhang
Hua-zeng Chen
Min Zhou
F. Yu
Hehe Fan
Yi Yang
19
0
0
01 Oct 2024
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for
  T1-weighted Brain MRI
Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI
Jonghun Kim
Mansu Kim
Hyunjin Park
MedIm
ViT
16
0
0
01 Oct 2024
Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity
Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity
Hanqi Jiang
Xixuan Hao
Yuzhou Huang
Chong Ma
Jiaxun Zhang
Yi Pan
Ruimao Zhang
MedIm
35
0
0
01 Oct 2024
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning
  for Surgical Phase Recognition
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition
Shu Yang
Zhiyuan Cai
Luyang Luo
Ning Ma
Shuchang Xu
Hao Chen
18
0
0
30 Sep 2024
Contrastive ground-level image and remote sensing pre-training improves
  representation learning for natural world imagery
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery
Andy V. Huynh
Lauren E. Gillespie
Jael Lopez-Saucedo
Claire Tang
Rohan Sikand
Moisés Expósito-Alonso
SSL
33
5
0
28 Sep 2024
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation
Dylan Li
Gyungin Shin
22
3
0
27 Sep 2024
Cross-video Identity Correlating for Person Re-identification
  Pre-training
Cross-video Identity Correlating for Person Re-identification Pre-training
Jialong Zuo
Ying Nie
Hanyu Zhou
Huaxin Zhang
Haoyu Wang
Tianyu Guo
Nong Sang
Changxin Gao
31
2
0
27 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang
Yixuan Li
CML
29
0
0
26 Sep 2024
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal
  Appearance Graphs
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs
Mattia Segu
Luigi Piccinelli
Siyuan Li
Luc Van Gool
Fisher Yu
Bernt Schiele
VOT
29
2
0
25 Sep 2024
Face Forgery Detection with Elaborate Backbone
Face Forgery Detection with Elaborate Backbone
Zonghui Guo
Y. Liu
Jie Zhang
Haiyong Zheng
Shiguang Shan
AAML
CVBM
23
1
0
25 Sep 2024
Linking in Style: Understanding learned features in deep learning models
Linking in Style: Understanding learned features in deep learning models
Maren H. Wehrheim
Pamela Osuna-Vargas
Matthias Kaschube
GAN
24
0
0
25 Sep 2024
Patch-Based Contrastive Learning and Memory Consolidation for Online
  Unsupervised Continual Learning
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
Cameron Taylor
Vassilis Vassiliades
C. Dovrolis
CLL
26
0
0
24 Sep 2024
Simple Unsupervised Knowledge Distillation With Space Similarity
Simple Unsupervised Knowledge Distillation With Space Similarity
Aditya Singh
Haohan Wang
29
1
0
20 Sep 2024
RingMo-Aerial: An Aerial Remote Sensing Foundation Model With A Affine Transformation Contrastive Learning
RingMo-Aerial: An Aerial Remote Sensing Foundation Model With A Affine Transformation Contrastive Learning
Wenhui Diao
Haichen Yu
Kaiyue Kang
Tong Ling
Di Liu
...
Hanbo Bi
Libo Ren
Xuexue Li
Yongqiang Mao
Xian Sun
29
1
0
20 Sep 2024
Surveying the MLLM Landscape: A Meta-Review of Current Surveys
Surveying the MLLM Landscape: A Meta-Review of Current Surveys
Ming Li
Keyu Chen
Ziqian Bi
Ming Liu
Benji Peng
...
Jinlang Wang
Sen Zhang
X. Pan
Jiawei Xu
Pohsun Feng
OffRL
34
2
0
17 Sep 2024
OneEncoder: A Lightweight Framework for Progressive Alignment of
  Modalities
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities
Bilal Faye
Hanane Azzag
M. Lebbah
ObjD
28
0
0
17 Sep 2024
MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion
MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion
Lehong Wu
Lilang Lin
Jiahang Zhang
Y. Ma
Jiaying Liu
DiffM
46
0
0
16 Sep 2024
Learning Semi-Supervised Medical Image Segmentation from Spatial
  Registration
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration
Qianying Liu
Paul Henderson
Xiao Gu
Hang Dai
F. Deligianni
30
0
0
16 Sep 2024
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
Amin Karimi Monsefi
Mengxi Zhou
Nastaran Karimi Monsefi
Ser-Nam Lim
Wei-Lun Chao
R. Ramnath
36
1
0
16 Sep 2024
On the Generalizability of Foundation Models for Crop Type Mapping
On the Generalizability of Foundation Models for Crop Type Mapping
Yi-Chia Chang
Adam J. Stewart
F. Bastani
Piper Wolters
Shreya Kannan
George R. Huber
Jingtong Wang
Arindam Banerjee
31
1
0
14 Sep 2024
Phikon-v2, A large and public feature extractor for biomarker prediction
Phikon-v2, A large and public feature extractor for biomarker prediction
Alexandre Filiot
Paul Jacob
Alice Mac Kain
Charlie Saillard
MedIm
34
17
0
13 Sep 2024
SimMAT: Exploring Transferability from Vision Foundation Models to Any
  Image Modality
SimMAT: Exploring Transferability from Vision Foundation Models to Any Image Modality
Chenyang Lei
Liyi Chen
Jun Cen
Xiao Chen
Zhen Lei
Felix Heide
Ziwei Liu
Qifeng Chen
Zhaoxiang Zhang
42
0
0
12 Sep 2024
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental
  Learning for Limited Biomedical Samples via Semantic Expansion
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion
Yifei Yao
Hanrong Zhang
39
1
0
12 Sep 2024
Hierarchical Multi-Label Classification with Missing Information for
  Benthic Habitat Imagery
Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery
Isaac Xu
B. Misiuk
Scott C. Lowe
Martin Gillis
Craig J. Brown
Thomas Trappenberg
SSL
20
3
0
10 Sep 2024
Label-free Monitoring of Self-Supervised Learning Progress
Label-free Monitoring of Self-Supervised Learning Progress
Isaac Xu
Scott Lowe
Thomas Trappenberg
32
1
0
10 Sep 2024
Explicit Mutual Information Maximization for Self-Supervised Learning
Explicit Mutual Information Maximization for Self-Supervised Learning
Lele Chang
Peilin Liu
Qinghai Guo
Fei Wen
SSL
19
0
0
07 Sep 2024
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through
  Feature Magnitude Regularization
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
Avraham Chapman
Haiming Xu
Lingqiao Liu
31
0
0
03 Sep 2024
Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
46
1
0
30 Aug 2024
Enhancing Sound Source Localization via False Negative Elimination
Enhancing Sound Source Localization via False Negative Elimination
Zengjie Song
Jiangshe Zhang
Yuxi Wang
Junsong Fan
Zhaoxiang Zhang
35
0
0
29 Aug 2024
Learning Differentially Private Diffusion Models via Stochastic
  Adversarial Distillation
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
Bochao Liu
Pengju Wang
Shiming Ge
32
1
0
27 Aug 2024
HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images
  Using Deep Learning
HER2 and FISH Status Prediction in Breast Biopsy H&E-Stained Images Using Deep Learning
Ardhendu Sekhar
Vrinda Goel
Garima Jain
Abhijeet Patil
R. Gupta
Tripti Bameta
S. Rane
Amit Sethi
21
1
0
25 Aug 2024
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
Zhenyu Zhang
Guangyao Chen
Yixiong Zou
Zhimeng Huang
Yuhua Li
Ruixuan Li
VLM
26
2
0
23 Aug 2024
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