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ScaleNet: An Unsupervised Representation Learning Method for Limited
  Information

ScaleNet: An Unsupervised Representation Learning Method for Limited Information

3 October 2023
Huili Huang
M. M. Roozbahani
    SSL
ArXivPDFHTML

Papers citing "ScaleNet: An Unsupervised Representation Learning Method for Limited Information"

50 / 212 papers shown
Title
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
151
250
0
14 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
27
122
0
12 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
16
12
0
04 Dec 2020
On Initial Pools for Deep Active Learning
On Initial Pools for Deep Active Learning
Akshay L Chandra
Sai Vikas Desai
Chaitanya Devaguptapu
V. Balasubramanian
24
19
0
30 Nov 2020
Unsupervised Object Detection with LiDAR Clues
Unsupervised Object Detection with LiDAR Clues
Haofei Tian
Yuntao Chen
Jifeng Dai
Zhaoxiang Zhang
Xizhou Zhu
3DPC
33
28
0
25 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative
  Cancellation
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
22
165
0
23 Nov 2020
Enriching ImageNet with Human Similarity Judgments and Psychological
  Embeddings
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
Brett D. Roads
Bradley C. Love
3DH
27
39
0
22 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot
  Learning
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye
Xiaoyu Lin
Giedrius Burachas
Ajay Divakaran
Yi Yao
17
2
0
19 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
30
1,359
0
31 Oct 2020
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
250
114
0
20 Oct 2020
Consensus Clustering With Unsupervised Representation Learning
Consensus Clustering With Unsupervised Representation Learning
Jayanth Reddy Regatti
A. Deshmukh
Eren Manavoglu
Ürün Dogan
OOD
SSL
28
20
0
03 Oct 2020
Mutual Teaching for Graph Convolutional Networks
Mutual Teaching for Graph Convolutional Networks
Kun Zhan
Chaoxi Niu
SSL
22
32
0
02 Sep 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
VLM
21
58
0
26 Aug 2020
Contextual Diversity for Active Learning
Contextual Diversity for Active Learning
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
26
161
0
13 Aug 2020
Learning to Cluster under Domain Shift
Learning to Cluster under Domain Shift
Willi Menapace
Stéphane Lathuilière
Elisa Ricci
OOD
19
14
0
11 Aug 2020
Unsupervised Feature Learning by Cross-Level Instance-Group
  Discrimination
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong Wang
Ziwei Liu
Stella X. Yu
SSL
20
76
0
09 Aug 2020
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance
  Discrimination
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Peng-Shuai Wang
Yuqi Yang
Qian-Fang Zou
Zhirong Wu
Yang Liu
Xin Tong
3DPC
34
53
0
03 Aug 2020
Identity-Guided Human Semantic Parsing for Person Re-Identification
Identity-Guided Human Semantic Parsing for Person Re-Identification
Kuan Zhu
Haiyun Guo
Zhiwei Liu
Ming Tang
Jinqiao Wang
209
284
0
27 Jul 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
215
330
0
22 Jul 2020
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput
  Image-Based Corn Kernel Counting and Yield Estimation
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
19
60
0
20 Jul 2020
Impact of base dataset design on few-shot image classification
Impact of base dataset design on few-shot image classification
Othman Sbai
Camille Couprie
Mathieu Aubry
VLM
17
22
0
17 Jul 2020
Autoregressive Unsupervised Image Segmentation
Autoregressive Unsupervised Image Segmentation
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
35
86
0
16 Jul 2020
Unsupervised Spatio-temporal Latent Feature Clustering for
  Multiple-object Tracking and Segmentation
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation
Abubakar Siddique
Reza Jalil Mozhdehi
Henry Medeiros
DRL
28
4
0
14 Jul 2020
Relation-Guided Representation Learning
Relation-Guided Representation Learning
Zhao Kang
Xiao Lu
Jian Liang
Kun Bai
Zenglin Xu
BDL
OOD
AI4TS
16
47
0
11 Jul 2020
Learning Embeddings for Image Clustering: An Empirical Study of Triplet
  Loss Approaches
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
Kalun Ho
J. Keuper
Franz-Josef Pfreundt
M. Keuper
19
10
0
06 Jul 2020
Progressive Cluster Purification for Unsupervised Feature Learning
Progressive Cluster Purification for Unsupervised Feature Learning
Yifei Zhang
Chang-rui Liu
Yu Zhou
Wei Wang
Weiping Wang
QiXiang Ye
25
13
0
06 Jul 2020
Parametric Instance Classification for Unsupervised Visual Feature
  Learning
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue Cao
Zhenda Xie
B. Liu
Yutong Lin
Zheng-Wei Zhang
Han Hu
VLM
26
60
0
25 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
125
6,655
0
13 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang
Zhi Xu
SSL
20
401
0
13 Jun 2020
Knowledge Distillation Meets Self-Supervision
Knowledge Distillation Meets Self-Supervision
Guodong Xu
Ziwei Liu
Xiaoxiao Li
Chen Change Loy
FedML
37
280
0
12 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations
Karan Desai
Justin Johnson
SSL
VLM
30
432
0
11 Jun 2020
Self-supervised Learning for Astronomical Image Classification
Self-supervised Learning for Astronomical Image Classification
A. Martinazzo
M. Espadoto
N. Hirata
SSL
7
12
0
23 Apr 2020
Distilling Localization for Self-Supervised Representation Learning
Distilling Localization for Self-Supervised Representation Learning
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
27
56
0
14 Apr 2020
Self-Supervised Viewpoint Learning From Image Collections
Self-Supervised Viewpoint Learning From Image Collections
Siva Karthik Mustikovela
Varun Jampani
Shalini De Mello
Sifei Liu
Umar Iqbal
Carsten Rother
Jan Kautz
SSL
31
39
0
03 Apr 2020
One-Shot Informed Robotic Visual Search in the Wild
One-Shot Informed Robotic Visual Search in the Wild
Karim Koreitem
Florian Shkurti
Travis Manderson
Wei-Di Chang
J. A. G. Higuera
Gregory Dudek
21
12
0
22 Mar 2020
Self-Supervised Contextual Bandits in Computer Vision
Self-Supervised Contextual Bandits in Computer Vision
A. Deshmukh
Abhimanu Kumar
Levi Boyles
Denis Xavier Charles
Eren Manavoglu
Ürün Dogan
SSL
31
3
0
18 Mar 2020
DHOG: Deep Hierarchical Object Grouping
DHOG: Deep Hierarchical Object Grouping
L. N. Darlow
Amos Storkey
13
7
0
13 Mar 2020
Inverse Feature Learning: Feature learning based on Representation
  Learning of Error
Inverse Feature Learning: Feature learning based on Representation Learning of Error
B. Ghazanfari
Fatemeh Afghah
Mohammadtaghi Hajiaghayi
SSL
14
2
0
08 Mar 2020
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
28
117
0
27 Feb 2020
Self-Supervised Joint Encoding of Motion and Appearance for First Person
  Action Recognition
Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition
M. Planamente
A. Bottino
Barbara Caputo
EgoV
23
3
0
10 Feb 2020
Solving Raven's Progressive Matrices with Neural Networks
Solving Raven's Progressive Matrices with Neural Networks
Tao Zhuo
Mohan S. Kankanhalli
27
26
0
05 Feb 2020
Rethinking Class Relations: Absolute-relative Supervised and
  Unsupervised Few-shot Learning
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
Hongguang Zhang
Piotr Koniusz
Songlei Jian
Hongdong Li
Philip Torr
SSL
34
59
0
12 Jan 2020
Discriminative Clustering with Representation Learning with any Ratio of
  Labeled to Unlabeled Data
Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data
Corinne Jones
Vincent Roulet
Zaïd Harchaoui
36
1
0
30 Dec 2019
A simple baseline for domain adaptation using rotation prediction
A simple baseline for domain adaptation using rotation prediction
Ajinkya Tejankar
Hamed Pirsiavash
SSL
25
5
0
26 Dec 2019
A Probabilistic approach for Learning Embeddings without Supervision
A Probabilistic approach for Learning Embeddings without Supervision
U. Dutta
Mehrtash Harandi
C. Sekhar
SSL
41
0
0
17 Dec 2019
Unsupervised Representation Learning by Discovering Reliable Image
  Relations
Unsupervised Representation Learning by Discovering Reliable Image Relations
Timo Milbich
Omair Ghori
Ferran Diego
Bjorn Ommer
OOD
SSL
24
9
0
18 Nov 2019
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
50
11,849
0
13 Nov 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
28
168
0
08 Oct 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
18
327
0
28 Jul 2019
Deep Multi-View Learning via Task-Optimal CCA
Deep Multi-View Learning via Task-Optimal CCA
Heather D. Couture
Roland Kwitt
J. S. Marron
M. Troester
C. Perou
Marc Niethammer
29
6
0
17 Jul 2019
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