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CliqueCNN: Deep Unsupervised Exemplar Learning

CliqueCNN: Deep Unsupervised Exemplar Learning

31 August 2016
Miguel Angel Bautista
A. Sanakoyeu
Ekaterina Tikhoncheva
Bjorn Ommer
    SSL
ArXiv (abs)PDFHTML

Papers citing "CliqueCNN: Deep Unsupervised Exemplar Learning"

50 / 68 papers shown
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
Chen Huang
Yiping Jin
Ilija Ilievski
Wenqiang Lei
Jiancheng Lv
371
5
0
20 May 2024
Adapting Self-Supervised Representations to Multi-Domain Setups
Adapting Self-Supervised Representations to Multi-Domain SetupsBritish Machine Vision Conference (BMVC), 2023
Neha Kalibhat
Sam Sharpe
Jeremy Goodsitt
Bayan Bruss
Soheil Feizi
249
0
0
07 Sep 2023
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Dynamically Scaled Temperature in Self-Supervised Contrastive LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Siladittya Manna
Soumitri Chattopadhyay
Rakesh Dey
Saumik Bhattacharya
Umapada Pal
294
2
0
02 Aug 2023
XSkill: Cross Embodiment Skill Discovery
XSkill: Cross Embodiment Skill DiscoveryConference on Robot Learning (CoRL), 2023
Mengda Xu
Zhenjia Xu
Cheng Chi
Manuela Veloso
Shuran Song
428
109
0
19 Jul 2023
Tied-Augment: Controlling Representation Similarity Improves Data
  Augmentation
Tied-Augment: Controlling Representation Similarity Improves Data AugmentationInternational Conference on Machine Learning (ICML), 2023
Emirhan Kurtuluş
Zichao Li
Yann N. Dauphin
E. D. Cubuk
243
4
0
22 May 2023
Hub-VAE: Unsupervised Hub-based Regularization of Variational
  Autoencoders
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders
Priya Mani
C. Domeniconi
BDLSSLDRL
297
1
0
18 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future WorksIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
302
86
0
15 Nov 2022
Unsupervised Visual Representation Learning via Mutual Information
  Regularized Assignment
Unsupervised Visual Representation Learning via Mutual Information Regularized AssignmentNeural Information Processing Systems (NeurIPS), 2022
Dong Lee
Sung-Ik Choi
Hyunwoo J. Kim
Sae-Young Chung
SSL
256
8
0
04 Nov 2022
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis
  of Gene Expression Prediction
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression PredictionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Yan Yang
Md Zakir Hossain
Eric A. Stone
Shafin Rahman
AI4TS
248
43
0
30 Oct 2022
FUSSL: Fuzzy Uncertain Self Supervised Learning
FUSSL: Fuzzy Uncertain Self Supervised LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
221
7
0
28 Oct 2022
Visual Recognition with Deep Nearest Centroids
Visual Recognition with Deep Nearest CentroidsInternational Conference on Learning Representations (ICLR), 2022
Wenguan Wang
Cheng Han
Tianfei Zhou
Dongfang Liu
593
186
0
15 Sep 2022
Measuring the Interpretability of Unsupervised Representations via
  Quantized Reverse Probing
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse ProbingInternational Conference on Learning Representations (ICLR), 2022
Iro Laina
Yuki M. Asano
Andrea Vedaldi
SSL
211
9
0
07 Sep 2022
Spatial Entropy as an Inductive Bias for Vision Transformers
Spatial Entropy as an Inductive Bias for Vision TransformersMachine-mediated learning (ML), 2022
E. Peruzzo
E. Sangineto
Yahui Liu
Marco De Nadai
Wei Bi
Bruno Lepri
Andrii Zadaianchuk
ViTMDE
319
7
0
09 Jun 2022
Towards Understanding Why Mask-Reconstruction Pretraining Helps in
  Downstream Tasks
Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream TasksInternational Conference on Learning Representations (ICLR), 2022
Jia Pan
Pan Zhou
Shuicheng Yan
SSL
461
20
0
08 Jun 2022
Rethinking Semantic Segmentation: A Prototype View
Rethinking Semantic Segmentation: A Prototype ViewComputer Vision and Pattern Recognition (CVPR), 2022
Tianfei Zhou
Wenguan Wang
E. Konukoglu
Luc Van Gool
SSeg
451
344
0
28 Mar 2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
Mugs: A Multi-Granular Self-Supervised Learning Framework
Pan Zhou
Yichen Zhou
Chenyang Si
Weihao Yu
Teck Khim Ng
Shuicheng Yan
VLM
232
70
0
27 Mar 2022
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic
  Segmentation
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
Ruihuang Li
Shuai Li
Chenhang He
Yabin Zhang
Xu Jia
Lei Zhang
233
104
0
18 Mar 2022
Self-supervised Learning from 100 Million Medical Images
Self-supervised Learning from 100 Million Medical Images
Florin-Cristian Ghesu
Bogdan Georgescu
Awais Mansoor
Y. Yoo
Dominik Neumann
...
R. Vishwanath
J. Balter
Yue Cao
Sasa Grbic
Dorin Comaniciu
SSL
319
58
0
04 Jan 2022
Self-supervised Video Transformer
Self-supervised Video Transformer
Kanchana Ranasinghe
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
Michael S. Ryoo
ViT
369
114
0
02 Dec 2021
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic
  Segmentation
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
Jiacheng Chen
Bin-Bin Gao
Zongqing Lu
Jing-Hao Xue
Chengjie Wang
Q. Liao
VLM
285
49
0
24 Nov 2021
Pose Recognition in the Wild: Animal pose estimation using Agglomerative
  Clustering and Contrastive Learning
Pose Recognition in the Wild: Animal pose estimation using Agglomerative Clustering and Contrastive Learning
Samayan Bhattacharya
Sk Shahnawaz
188
1
0
16 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSLViT
154
2
0
08 Nov 2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni
Gilles Puy
Huy V. Vo
Simon Roburin
Spyros Gidaris
Andrei Bursuc
P. Pérez
Renaud Marlet
Jean Ponce
ViT
546
270
0
29 Sep 2021
Improving Deep Metric Learning by Divide and Conquer
Improving Deep Metric Learning by Divide and ConquerIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
293
17
0
09 Sep 2021
Neighborhood Contrastive Learning for Novel Class Discovery
Neighborhood Contrastive Learning for Novel Class DiscoveryComputer Vision and Pattern Recognition (CVPR), 2021
Zhun Zhong
Enrico Fini
Subhankar Roy
Zhiming Luo
Elisa Ricci
Andrii Zadaianchuk
292
188
0
20 Jun 2021
Efficient Training of Visual Transformers with Small Datasets
Efficient Training of Visual Transformers with Small DatasetsNeural Information Processing Systems (NeurIPS), 2021
Yahui Liu
E. Sangineto
Wei Bi
Andrii Zadaianchuk
Bruno Lepri
Marco De Nadai
ViT
293
220
0
07 Jun 2021
Unsupervised Action Segmentation by Joint Representation Learning and
  Online Clustering
Unsupervised Action Segmentation by Joint Representation Learning and Online ClusteringComputer Vision and Pattern Recognition (CVPR), 2021
Sateesh Kumar
S. Haresh
Awais Ahmed
Andrey Konin
M. Zia
Quoc-Huy Tran
SSL
709
69
0
27 May 2021
Class-Incremental Few-Shot Object Detection
Class-Incremental Few-Shot Object Detection
Pengyang Li
Yanan Li
Han Cui
Donghui Wang
CLL
283
14
0
17 May 2021
Mean Shift for Self-Supervised Learning
Mean Shift for Self-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2021
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
357
103
0
15 May 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2021
Adrien Bardes
Jean Ponce
Yann LeCun
SSLDML
726
1,192
0
11 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual RepresentationsIEEE International Conference on Computer Vision (ICCV), 2021
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
694
540
0
29 Apr 2021
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive
  Background Prototypes
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Jiacheng Chen
Bin-Bin Gao
Zongqing Lu
Jing-Hao Xue
Chengjie Wang
Q. Liao
VLM
189
13
0
19 Apr 2021
Self-supervised object detection from audio-visual correspondence
Self-supervised object detection from audio-visual correspondenceComputer Vision and Pattern Recognition (CVPR), 2021
Triantafyllos Afouras
Yuki M. Asano
Francois Fagan
Andrea Vedaldi
Florian Metze
SSL
398
53
0
13 Apr 2021
Broaden Your Views for Self-Supervised Video Learning
Broaden Your Views for Self-Supervised Video LearningIEEE International Conference on Computer Vision (ICCV), 2021
Adrià Recasens
Pauline Luc
Jean-Baptiste Alayrac
Luyu Wang
Ross Hemsley
...
Florent Altché
M. Valko
Jean-Bastien Grill
Aaron van den Oord
Andrew Zisserman
SSLAI4TS
402
140
0
30 Mar 2021
Unsupervised Behaviour Analysis and Magnification (uBAM) using Deep
  Learning
Unsupervised Behaviour Analysis and Magnification (uBAM) using Deep Learning
Biagio Brattoli
Uta Büchler
Michael Dorkenwald
Philipp Reiser
Linard Filli
F. Helmchen
A. Wahl
Bjorn Ommer
414
3
0
16 Dec 2020
Continuous Surface Embeddings
Continuous Surface EmbeddingsNeural Information Processing Systems (NeurIPS), 2020
Natalia Neverova
David Novotny
Vasil Khalidov
Marc Szafraniec
Patrick Labatut
Andrea Vedaldi
3DH3DV
372
104
0
24 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative
  Cancellation
Boosting Contrastive Self-Supervised Learning with False Negative CancellationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
405
216
0
23 Nov 2020
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
Akiyoshi Kurobe
Yoshikatsu Nakajima
Hideo Saito
Kris Kitani
SSL
103
3
0
13 Oct 2020
Whitening for Self-Supervised Representation Learning
Whitening for Self-Supervised Representation LearningInternational Conference on Machine Learning (ICML), 2020
Aleksandr Ermolov
Aliaksandr Siarohin
E. Sangineto
Andrii Zadaianchuk
SSL
754
371
0
13 Jul 2020
Visualizing Classification Structure of Large-Scale Classifiers
Visualizing Classification Structure of Large-Scale Classifiers
B. Alsallakh
Zhixin Yan
Shabnam Ghaffarzadegan
Zeng Dai
Liu Ren
FAtt
276
1
0
12 Jul 2020
Labelling unlabelled videos from scratch with multi-modal
  self-supervision
Labelling unlabelled videos from scratch with multi-modal self-supervisionNeural Information Processing Systems (NeurIPS), 2020
Yuki M. Asano
Mandela Patrick
Christian Rupprecht
Andrea Vedaldi
SSL
359
163
0
24 Jun 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
1.5K
4,857
0
17 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A ReviewProceedings of the IEEE (Proc. IEEE), 2020
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OODHAI
283
132
0
12 Jun 2020
Generative Adversarial Data Programming
Generative Adversarial Data Programming
Arghya Pal
V. Balasubramanian
VLMGAN
254
5
0
30 Apr 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
DiVA: Diverse Visual Feature Aggregation for Deep Metric LearningEuropean Conference on Computer Vision (ECCV), 2020
Timo Milbich
Karsten Roth
Homanga Bharadhwaj
Samarth Sinha
Yoshua Bengio
Bjorn Ommer
Joseph Paul Cohen
409
75
0
28 Apr 2020
Sharing Matters for Generalization in Deep Metric Learning
Sharing Matters for Generalization in Deep Metric LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timo Milbich
Karsten Roth
Biagio Brattoli
Bjorn Ommer
FedMLOOD
272
26
0
12 Apr 2020
Exploit Clues from Views: Self-Supervised and Regularized Learning for
  Multiview Object Recognition
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Chih-Hui Ho
Bo Liu
Tz-Ying Wu
Nuno Vasconcelos
250
9
0
28 Mar 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
PADS: Policy-Adapted Sampling for Visual Similarity LearningComputer Vision and Pattern Recognition (CVPR), 2020
Karsten Roth
Timo Milbich
Bjorn Ommer
334
52
0
24 Mar 2020
A Content Transformation Block For Image Style Transfer
A Content Transformation Block For Image Style TransferComputer Vision and Pattern Recognition (CVPR), 2019
Dmytro Kotovenko
A. Sanakoyeu
Pingchuan Ma
Sabine Lang
Bjorn Ommer
327
87
0
18 Mar 2020
Transferring Dense Pose to Proximal Animal Classes
Transferring Dense Pose to Proximal Animal ClassesComputer Vision and Pattern Recognition (CVPR), 2020
A. Sanakoyeu
Vasil Khalidov
Maureen S. McCarthy
Andrea Vedaldi
Natalia Neverova
3DH
346
63
0
28 Feb 2020
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