ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1406.6909
  4. Cited By
Discriminative Unsupervised Feature Learning with Exemplar Convolutional
  Neural Networks
v1v2 (latest)

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

26 June 2014
Alexey Dosovitskiy
Philipp Fischer
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
    OODSSL
ArXiv (abs)PDFHTML

Papers citing "Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks"

50 / 379 papers shown
Title
Cross-Entropy Is All You Need To Invert the Data Generating Process
Cross-Entropy Is All You Need To Invert the Data Generating Process
Patrik Reizinger
Alice Bizeul
Attila Juhos
Julia E. Vogt
Randall Balestriero
Wieland Brendel
David Klindt
SSLOODBDLDRL
225
6
0
29 Oct 2024
CATE Estimation With Potential Outcome Imputation From Local Regression
CATE Estimation With Potential Outcome Imputation From Local Regression
Ahmed Aloui
Juncheng Dong
Cat P. Le
Vahid Tarokh
CML
38
2
0
07 Nov 2023
DNA: Denoised Neighborhood Aggregation for Fine-grained Category
  Discovery
DNA: Denoised Neighborhood Aggregation for Fine-grained Category Discovery
Wenbin An
Feng Tian
Wenkai Shi
Yan Chen
Qinghua Zheng
Qianying Wang
Ping Chen
85
5
0
16 Oct 2023
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
Mattia Segu
Bernt Schiele
Fisher Yu
TTA
101
13
0
03 Oct 2023
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental
  Learning
Balanced Supervised Contrastive Learning for Few-Shot Class-Incremental Learning
In-Ug Yoon
Taehyean Choi
Young-Min Kim
Jong-Hwan Kim
CLL
70
3
0
26 May 2023
Learning imaging mechanism directly from optical microscopy observations
Learning imaging mechanism directly from optical microscopy observations
Ze-Hao Wang
Long-Kun Shan
Tong-Tian Weng
Tianrun Chen
Qiyuan Wang
Xiang-Dong Chen
Zhang Wang
Guanghsheng Guo
Hefei 230088
DiffM
28
1
0
25 Apr 2023
Adaptive Data Augmentation for Contrastive Learning
Adaptive Data Augmentation for Contrastive Learning
Yu-Hui Zhang
He Zhu
Shan Yu
78
8
0
05 Apr 2023
Constructive Assimilation: Boosting Contrastive Learning Performance
  through View Generation Strategies
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Ligong Han
Seung-Jun Han
Shivchander Sudalairaj
Charlotte Loh
Rumen Dangovski
...
Pulkit Agrawal
Dimitris N. Metaxas
Leonid Karlinsky
Tsui-Wei Weng
Akash Srivastava
98
1
0
02 Apr 2023
Dropout Reduces Underfitting
Dropout Reduces Underfitting
Zhuang Liu
Zhi-Qin John Xu
Joseph Jin
Zhiqiang Shen
Trevor Darrell
154
41
0
02 Mar 2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked
  Image Modeling For Label-Efficient Representations
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
Ziyu Jiang
Yinpeng Chen
Mengchen Liu
Dongdong Chen
Xiyang Dai
Lu Yuan
Zicheng Liu
Zhangyang Wang
SSLVLMCLIP
102
17
0
27 Feb 2023
Find Beauty in the Rare: Contrastive Composition Feature Clustering for
  Nontrivial Cropping Box Regression
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
Zhiyu Pan
Yinpeng Chen
Jiale Zhang
Hao Lu
Zhiguo Cao
Weicai Zhong
CoGe
52
5
0
17 Feb 2023
Event-guided Multi-patch Network with Self-supervision for Non-uniform
  Motion Deblurring
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring
Hongguang Zhang
Limeng Zhang
Yuchao Dai
Hongdong Li
Piotr Koniusz
64
19
0
14 Feb 2023
Bayesian Self-Supervised Contrastive Learning
Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSLBDL
85
4
0
27 Jan 2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Yinghao Xu
Yujun Shen
Jiapeng Zhu
Ceyuan Yang
Bolei Zhou
74
2
0
12 Jan 2023
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
Runnan Chen
Youquan Liu
Lingdong Kong
Xinge Zhu
Yuexin Ma
Yikang Li
Yuenan Hou
Yu Qiao
Wenping Wang
CLIP3DPC
116
147
0
12 Jan 2023
Improving Visual Representation Learning through Perceptual
  Understanding
Improving Visual Representation Learning through Perceptual Understanding
Samyakh Tukra
Frederick Hoffman
Ken Chatfield
83
5
0
30 Dec 2022
Feature Dropout: Revisiting the Role of Augmentations in Contrastive
  Learning
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
Alex Tamkin
Margalit Glasgow
Xiluo He
Noah D. Goodman
SSL
110
7
0
16 Dec 2022
Establishing a stronger baseline for lightweight contrastive models
Establishing a stronger baseline for lightweight contrastive models
Wenye Lin
Yifeng Ding
Zhixiong Cao
Haitao Zheng
86
2
0
14 Dec 2022
SEPT: Towards Scalable and Efficient Visual Pre-Training
SEPT: Towards Scalable and Efficient Visual Pre-Training
Yiqi Lin
Huabin Zheng
Huaping Zhong
Jinjing Zhu
Weijia Li
Conghui He
Lin Wang
73
2
0
11 Dec 2022
Ladder Siamese Network: a Method and Insights for Multi-level
  Self-Supervised Learning
Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning
Ryota Yoshihashi
Shuhei Nishimura
Dai Yonebayashi
Yuya Otsuka
Tomohiro Tanaka
Takashi Miyazaki
SSL
61
2
0
25 Nov 2022
Few-shot Object Detection with Refined Contrastive Learning
Few-shot Object Detection with Refined Contrastive Learning
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
67
7
0
24 Nov 2022
Adversarial and Random Transformations for Robust Domain Adaptation and
  Generalization
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization
Liang Xiao
Jiaolong Xu
Dawei Zhao
Erke Shang
Qi Zhu
Bin Dai
OOD
72
6
0
13 Nov 2022
Could Giant Pretrained Image Models Extract Universal Representations?
Could Giant Pretrained Image Models Extract Universal Representations?
Yutong Lin
Ze Liu
Zheng Zhang
Han Hu
Nanning Zheng
Stephen Lin
Yue Cao
VLM
106
9
0
03 Nov 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
Jialin Mao
Itay Griniasty
Rubing Yang
H. Teoh
Mark K. Transtrum
James P. Sethna
Pratik Chaudhari
SSLDRL
95
5
0
31 Oct 2022
The Curious Case of Benign Memorization
The Curious Case of Benign Memorization
Sotiris Anagnostidis
Gregor Bachmann
Lorenzo Noci
Thomas Hofmann
AAML
123
10
0
25 Oct 2022
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution
  Queries
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries
Shikhar Jaiswal
Ravishankar Krishnaswamy
Ankit Garg
H. Simhadri
Sheshansh Agrawal
82
26
0
22 Oct 2022
Self-Supervised Pretraining on Satellite Imagery: a Case Study on
  Label-Efficient Vehicle Detection
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Jules Bourcier
Thomas Floquet
G. Dashyan
Tugdual Ceillier
Alahari Karteek
Jocelyn Chanussot
SSL
38
1
0
21 Oct 2022
Self-Supervised Learning via Maximum Entropy Coding
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
130
43
0
20 Oct 2022
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View
  Completion
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion
Philippe Weinzaepfel
Vincent Leroy
Thomas Lucas
Romain Brégier
Yohann Cabon
Vaibhav Arora
L. Antsfeld
Boris Chidlovskii
G. Csurka
Jérôme Revaud
SSL
138
73
0
19 Oct 2022
Fine-grained Category Discovery under Coarse-grained supervision with
  Hierarchical Weighted Self-contrastive Learning
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
Wenbin An
Feng Tian
Ping Chen
Siliang Tang
Qinghua Zheng
Qianying Wang
84
17
0
14 Oct 2022
Improving Dense Contrastive Learning with Dense Negative Pairs
Improving Dense Contrastive Learning with Dense Negative Pairs
Berk Iskender
Zhenlin Xu
Simon Kornblith
Enhung Chu
M. Khademi
SSL
52
2
0
11 Oct 2022
Dynamic Latent Separation for Deep Learning
Dynamic Latent Separation for Deep Learning
Yi-Lin Tuan
Zih-Yun Chiu
William Yang Wang
66
0
0
07 Oct 2022
SimPer: Simple Self-Supervised Learning of Periodic Targets
SimPer: Simple Self-Supervised Learning of Periodic Targets
Yuzhe Yang
Xin Liu
Jiang Wu
Silviu Borac
Dina Katabi
M. Poh
Daniel J. McDuff
115
47
0
06 Oct 2022
Contrastive Unsupervised Learning of World Model with Invariant Causal
  Features
Contrastive Unsupervised Learning of World Model with Invariant Causal Features
Rudra P. K. Poudel
Harit Pandya
R. Cipolla
SSLCML
47
3
0
29 Sep 2022
FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain
  Contrastive Learning
FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning
Li-Huan Du
Guohao Lan
59
4
0
14 Sep 2022
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
Qiang-feng Zhou
Chaohui Yu
Haowen Luo
Zhibin Wang
Hao Li
VLM
132
21
0
07 Sep 2022
Self-supervised multimodal neuroimaging yields predictive
  representations for a spectrum of Alzheimer's phenotypes
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes
A. Fedorov
Eloy P. T. Geenjaar
Lei Wu
Tristan Sylvain
T. DeRamus
Margaux Luck
Maria B. Misiura
R. Devon Hjelm
Sergey Plis
Vince D. Calhoun
31
3
0
07 Sep 2022
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
Han Wu
Jie Yin
B. Rajaratnam
Jianyuan Guo
150
10
0
02 Sep 2022
Skeleton Prototype Contrastive Learning with Multi-Level Graph Relation
  Modeling for Unsupervised Person Re-Identification
Skeleton Prototype Contrastive Learning with Multi-Level Graph Relation Modeling for Unsupervised Person Re-Identification
Haocong Rao
Steven C. H. Hoi
3DH
54
3
0
25 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
157
119
0
24 Aug 2022
Siamese Prototypical Contrastive Learning
Siamese Prototypical Contrastive Learning
Shentong Mo
Zhun Sun
Chao Li
SSL
58
13
0
18 Aug 2022
Self-Supervised Contrastive Representation Learning for 3D Mesh
  Segmentation
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation
Ayaan Haque
H. Moon
Heng Hao
Sima Didari
J. Woo
P. Bangert
3DPCSSL
39
2
0
08 Aug 2022
Understanding Masked Image Modeling via Learning Occlusion Invariant
  Feature
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
Xiangwen Kong
Xiangyu Zhang
SSL
68
54
0
08 Aug 2022
Adaptive Soft Contrastive Learning
Adaptive Soft Contrastive Learning
Chen Feng
Ioannis Patras
SSL
83
20
0
22 Jul 2022
Tailoring Self-Supervision for Supervised Learning
Tailoring Self-Supervision for Supervised Learning
WonJun Moon
Ji-Hwan Kim
Jae-Pil Heo
SSL
55
10
0
20 Jul 2022
HOME: High-Order Mixed-Moment-based Embedding for Representation
  Learning
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning
Chuang Niu
Ge Wang
SSL
71
4
0
15 Jul 2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
89
78
0
14 Jul 2022
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative
  Self-supervised Learning
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning
Shaoru Wang
Zeming Li
Jin Gao
Liang Li
Weiming Hu
59
0
0
13 Jul 2022
Pixel-level Correspondence for Self-Supervised Learning from Video
Pixel-level Correspondence for Self-Supervised Learning from Video
Yash Sharma
Yi Zhu
Chris Russell
Thomas Brox
SSL
49
4
0
08 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
...
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
129
46
0
01 Jul 2022
12345678
Next