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Efficient Visual Pretraining with Contrastive Detection
v1v2 (latest)

Efficient Visual Pretraining with Contrastive Detection

IEEE International Conference on Computer Vision (ICCV), 2021
19 March 2021
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
    VLMSSL
ArXiv (abs)PDFHTML

Papers citing "Efficient Visual Pretraining with Contrastive Detection"

33 / 133 papers shown
Title
Multi-scale and Cross-scale Contrastive Learning for Semantic
  Segmentation
Multi-scale and Cross-scale Contrastive Learning for Semantic SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Theodoros Pissas
Claudio S. Ravasio
L. Cruz
Christos Bergeles
228
19
0
25 Mar 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Feng Wang
Huiyu Wang
Chen Wei
Alan Yuille
Wei Shen
SSLVLM
232
37
0
22 Mar 2022
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via
  Cross-modal Distillation
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal DistillationEuropean Conference on Computer Vision (ECCV), 2022
Antonín Vobecký
David Hurych
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Josef Sivic
3DPC
229
28
0
21 Mar 2022
Dense Siamese Network for Dense Unsupervised Learning
Dense Siamese Network for Dense Unsupervised LearningEuropean Conference on Computer Vision (ECCV), 2022
Wenwei Zhang
Jiangmiao Pang
Kai-xiang Chen
Chen Change Loy
144
16
0
21 Mar 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Renhao Wang
Hang Zhao
Yang Gao
SSL
201
1
0
17 Mar 2022
DATA: Domain-Aware and Task-Aware Self-supervised Learning
DATA: Domain-Aware and Task-Aware Self-supervised LearningComputer Vision and Pattern Recognition (CVPR), 2022
Qing Chang
Junran Peng
Lingxi Xie
Jiajun Sun
Hao Yin
Qi Tian
Zhaoxiang Zhang
199
8
0
17 Mar 2022
Object discovery and representation networks
Object discovery and representation networksEuropean Conference on Computer Vision (ECCV), 2022
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
364
95
0
16 Mar 2022
FreeSOLO: Learning to Segment Objects without Annotations
FreeSOLO: Learning to Segment Objects without AnnotationsComputer Vision and Pattern Recognition (CVPR), 2022
Xinlong Wang
Zhiding Yu
Shalini De Mello
Jan Kautz
Anima Anandkumar
Chunhua Shen
J. Álvarez
ISegSSeg
308
133
0
24 Feb 2022
ChimeraMix: Image Classification on Small Datasets via Masked Feature
  Mixing
ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Christoph Reinders
Frederik Schubert
Bodo Rosenhahn
167
7
0
23 Feb 2022
Point-Level Region Contrast for Object Detection Pre-Training
Point-Level Region Contrast for Object Detection Pre-TrainingComputer Vision and Pattern Recognition (CVPR), 2022
Yutong Bai
Xinlei Chen
Alexander Kirillov
Alan Yuille
Alexander C. Berg
3DPC
186
54
0
09 Feb 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
321
91
0
13 Jan 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks
Sound and Visual Representation Learning with Multiple Pretraining TasksComputer Vision and Pattern Recognition (CVPR), 2022
A. Vasudevan
Dengxin Dai
Luc Van Gool
SSL
190
7
0
04 Jan 2022
Local contrastive loss with pseudo-label based self-training for
  semi-supervised medical image segmentation
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
178
173
0
17 Dec 2021
RegionCLIP: Region-based Language-Image Pretraining
RegionCLIP: Region-based Language-Image Pretraining
Yiwu Zhong
Jianwei Yang
Pengchuan Zhang
Chunyuan Li
Noel Codella
...
Luowei Zhou
Xiyang Dai
Lu Yuan
Yin Li
Jianfeng Gao
VLMCLIP
299
747
0
16 Dec 2021
Contextualized Spatio-Temporal Contrastive Learning with
  Self-Supervision
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision
Liangzhe Yuan
Rui Qian
Huayu Chen
Boqing Gong
Florian Schroff
Ming-Hsuan Yang
Hartwig Adam
Ting Liu
AI4TS
197
17
0
09 Dec 2021
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and
  Segmentation
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation
Lu Qi
Jason Kuen
Zhe Lin
Jiuxiang Gu
Fengyun Rao
Dian Li
Weidong Guo
Zhen Wen
Ming-Hsuan Yang
Jiaya Jia
208
13
0
09 Dec 2021
Auxiliary Learning for Self-Supervised Video Representation via
  Similarity-based Knowledge Distillation
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
Amirhossein Dadashzadeh
Alan Whone
Majid Mirmehdi
SSL
286
5
0
07 Dec 2021
PreViTS: Contrastive Pretraining with Video Tracking Supervision
PreViTS: Contrastive Pretraining with Video Tracking Supervision
Brian Chen
Ramprasaath R. Selvaraju
Shih-Fu Chang
Juan Carlos Niebles
Nikhil Naik
ViT
213
3
0
01 Dec 2021
Object-Aware Cropping for Self-Supervised Learning
Object-Aware Cropping for Self-Supervised Learning
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Abhyuday N. Jagannatha
Janit Anjaria
Abhishek Sharma
David Jacobs
Dilip Krishnan
SSL
345
26
0
01 Dec 2021
Contrastive Object-level Pre-training with Spatial Noise Curriculum
  Learning
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
Chenhongyi Yang
Lichao Huang
Elliot J. Crowley
SSLVLM
168
6
0
26 Nov 2021
ViCE: Improving Dense Representation Learning by Superpixelization and
  Contrasting Cluster Assignment
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson
Tomoki Hayashi
Keisuke Fujii
Alexander Carballo
Kento Ohtani
K. Takeda
SSL
250
5
0
24 Nov 2021
Unsupervised Part Discovery from Contrastive Reconstruction
Unsupervised Part Discovery from Contrastive ReconstructionNeural Information Processing Systems (NeurIPS), 2021
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCLSSL
397
71
0
11 Nov 2021
A Survey of Self-Supervised and Few-Shot Object Detection
A Survey of Self-Supervised and Few-Shot Object DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Gabriel Huang
I. Laradji
David Vazquez
Damien Scieur
Pau Rodríguez López
ObjD
223
102
0
27 Oct 2021
Unsupervised Object-Level Representation Learning from Scene Images
Unsupervised Object-Level Representation Learning from Scene ImagesNeural Information Processing Systems (NeurIPS), 2021
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSLOCL
197
82
0
22 Jun 2021
Self-Supervised Learning with Kernel Dependence Maximization
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li
Roman Pogodin
Danica J. Sutherland
Arthur Gretton
SSL
179
97
0
15 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual RepresentationsNeural Information Processing Systems (NeurIPS), 2021
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
278
73
0
10 Jun 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object DetectionComputer Vision and Pattern Recognition (CVPR), 2021
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
393
132
0
08 Jun 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Aligning Pretraining for Detection via Object-Level Contrastive LearningNeural Information Processing Systems (NeurIPS), 2021
Fangyun Wei
Yue Gao
Zhirong Wu
Han Hu
Stephen Lin
ObjD
200
163
0
04 Jun 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated DataIEEE International Conference on Computer Vision (ICCV), 2021
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
284
110
0
17 May 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?Computer Vision and Pattern Recognition (CVPR), 2021
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge Belongie
SSL
314
135
0
12 May 2021
Self-Supervised Learning with Swin Transformers
Self-Supervised Learning with Swin Transformers
Zhenda Xie
Yutong Lin
Zhuliang Yao
Zheng Zhang
Jingdong Sun
Yue Cao
Han Hu
ViT
251
203
0
10 May 2021
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual RepresentationsInternational Journal of Computer Vision (IJCV), 2020
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSLVLM
191
61
0
26 Aug 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
OCLSSL
1.2K
4,625
0
17 Jun 2020
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