ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.07728
  4. Cited By
Unsupervised Representation Learning by Predicting Image Rotations

Unsupervised Representation Learning by Predicting Image Rotations

21 March 2018
Spyros Gidaris
Praveer Singh
N. Komodakis
    OODSSLDRL
ArXiv (abs)PDFHTMLGithub (518★)

Papers citing "Unsupervised Representation Learning by Predicting Image Rotations"

50 / 1,956 papers shown
Title
The Pursuit of Human Labeling: A New Perspective on Unsupervised
  Learning
The Pursuit of Human Labeling: A New Perspective on Unsupervised LearningNeural Information Processing Systems (NeurIPS), 2023
Artyom Gadetsky
Maria Brbić
233
9
0
06 Nov 2023
CycleCL: Self-supervised Learning for Periodic Videos
CycleCL: Self-supervised Learning for Periodic VideosIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Matteo Destro
Michael Gygli
SSL
334
5
0
05 Nov 2023
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot
  Classification
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationInternational Conference on Learning Representations (ICLR), 2023
Hao Zheng
Runqi Wang
Jianzhuang Liu
Asako Kanezaki
157
11
0
04 Nov 2023
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning
Xianzhong Long
Chen Peng
Yun Li
SSL
173
0
0
01 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoringEnvironmental Data Science (EDS), 2023
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
474
16
0
01 Nov 2023
From Denoising Training to Test-Time Adaptation: Enhancing Domain
  Generalization for Medical Image Segmentation
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Ruxue Wen
Hangjie Yuan
Dong Ni
Wenbo Xiao
Yaoyao Wu
OOD
163
27
0
31 Oct 2023
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
Adaptive Anchor Label Propagation for Transductive Few-Shot LearningInternational Conference on Information Photonics (ICIP), 2023
Michalis Lazarou
Yannis Avrithis
Guangyu Ren
Tania Stathaki
132
1
0
30 Oct 2023
GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning
GaitFormer: Learning Gait Representations with Noisy Multi-Task LearningItalian National Conference on Sensors (INS), 2022
Adrian Cosma
I. Radoi
CVBM
153
18
0
30 Oct 2023
Generalized Category Discovery with Clustering Assignment Consistency
Generalized Category Discovery with Clustering Assignment ConsistencyInternational Conference on Neural Information Processing (ICONIP), 2023
Xiangli Yang
Xinglin Pan
Irwin King
Zenglin Xu
117
5
0
30 Oct 2023
Identifiable Contrastive Learning with Automatic Feature Importance
  Discovery
Identifiable Contrastive Learning with Automatic Feature Importance DiscoveryNeural Information Processing Systems (NeurIPS), 2023
Tao Gui
Yifei Wang
Yisen Wang
239
18
0
29 Oct 2023
Triplet Attention Transformer for Spatiotemporal Predictive Learning
Triplet Attention Transformer for Spatiotemporal Predictive LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Xuesong Nie
Xi Chen
Haoyuan Jin
Zhihang Zhu
Yunfeng Yan
Donglian Qi
ViT
144
15
0
28 Oct 2023
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point
  Clouds
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point CloudsInternational Conference on 3D Vision (3DV), 2023
Corentin Sautier
Gilles Puy
Alexandre Boulch
Renaud Marlet
Vincent Lepetit
3DPC
173
22
0
26 Oct 2023
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Proposal-Contrastive Pretraining for Object Detection from Fewer DataInternational Conference on Learning Representations (ICLR), 2023
Quentin Bouniot
Romaric Audigier
Angélique Loesch
Amaury Habrard
ViT
188
4
0
25 Oct 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked
  Auto-Encoder
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-EncoderNeural Information Processing Systems (NeurIPS), 2023
Huiwon Jang
Jihoon Tack
Daewon Choi
Jongheon Jeong
Jinwoo Shin
192
6
0
25 Oct 2023
PET Synthesis via Self-supervised Adaptive Residual Estimation
  Generative Adversarial Network
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial NetworkIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2023
Yuxin Xue
Lei Bi
Yige Peng
M. Fulham
David Dagan Feng
Jinman Kim
MedIm
119
7
0
24 Oct 2023
Remote Heart Rate Monitoring in Smart Environments from Videos with
  Self-supervised Pre-training
Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-trainingIEEE Internet of Things Journal (IEEE IoT J.), 2023
Divij Gupta
Ali Etemad
165
2
0
23 Oct 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
346
70
0
22 Oct 2023
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings
Jiahao Xu
Wei Shao
Lihui Chen
Lemao Liu
FedML
301
8
0
20 Oct 2023
SILC: Improving Vision Language Pretraining with Self-Distillation
SILC: Improving Vision Language Pretraining with Self-Distillation
Muhammad Ferjad Naeem
Yongqin Xian
Xiaohua Zhai
Lukas Hoyer
Luc Van Gool
F. Tombari
VLM
242
55
0
20 Oct 2023
Representation Learning via Consistent Assignment of Views over Random
  Partitions
Representation Learning via Consistent Assignment of Views over Random Partitions
T. Silva
Adín Ramirez Rivera
SSL
251
5
0
19 Oct 2023
FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans
  Using Deep Self-supervised Learning
FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised LearningUltrasound in Medicine and Biology (UMB), 2023
Hussain Alasmawi
Leanne Bricker
Mohammad Yaqub
166
4
0
19 Oct 2023
MTS-LOF: Medical Time-Series Representation Learning via
  Occlusion-Invariant Features
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant FeaturesIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Huayu Li
Ana S. Carreon-Rascon
Xiwen Chen
Geng Yuan
Ao Li
AI4TS
167
10
0
19 Oct 2023
Unsupervised Learning of Object-Centric Embeddings for Cell Instance
  Segmentation in Microscopy Images
Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy ImagesIEEE International Conference on Computer Vision (ICCV), 2023
Steffen Wolf
Manan Lalit
Henry Westmacott
Katie McDole
Jan Funke
OCL
186
10
0
12 Oct 2023
SegLoc: Visual Self-supervised Learning Scheme for Dense Prediction
  Tasks of Security Inspection X-ray Images
SegLoc: Visual Self-supervised Learning Scheme for Dense Prediction Tasks of Security Inspection X-ray ImagesInternational Symposium on Telecommunications (IST), 2023
Shervin Halat
Mohammad Rahmati
Ehsan Nazerfard
292
0
0
12 Oct 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
233
20
0
10 Oct 2023
UniCrossFi: A Unified Framework For Cross-Domain Wi-Fi-based Gesture Recognition
UniCrossFi: A Unified Framework For Cross-Domain Wi-Fi-based Gesture Recognition
Ke Xu
Zhiyong Zheng
Erik Cambria
Dingchang Zheng
Jiangtao Wang
164
0
0
10 Oct 2023
Improving Discriminative Multi-Modal Learning with Large-Scale
  Pre-Trained Models
Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models
Chenzhuang Du
Yue Zhao
Chonghua Liao
Jiacheng You
Jie Fu
Hang Zhao
218
2
0
08 Oct 2023
Enhancing Representations through Heterogeneous Self-Supervised Learning
Enhancing Representations through Heterogeneous Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhongyu Li
Bo-Wen Yin
Yongxiang Liu
Tianpeng Liu
Ming-Ming Cheng
SSL
330
3
0
08 Oct 2023
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary
  Artery Stenosis Detection for Disease Diagnosis
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis
Sandesh Pokhrel
Sanjay Bhandari
Eduard Vazquez
Yash Raj Shrestha
Binod Bhattarai
MedIm
106
4
0
07 Oct 2023
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios
Shuangliang Li
Longhui Yuan
Binhui Xie
Tao Yang
TTA
178
4
0
07 Oct 2023
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth
  Estimation
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
Muhammad Osama Khan
Junbang Liang
Chun-Kai Wang
Shan Yang
Yu Lou
MDE
183
4
0
06 Oct 2023
Diffusion Models as Masked Audio-Video Learners
Diffusion Models as Masked Audio-Video Learners
Elvis Nunez
Yanzi Jin
Mohammad Rastegari
Sachin Mehta
Maxwell Horton
147
2
0
05 Oct 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable
  Evasion Attacks
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks
Ofir Bar Tal
Adi Haviv
Amit H. Bermano
AAML
139
0
0
05 Oct 2023
ScaleNet: An Unsupervised Representation Learning Method for Limited
  Information
ScaleNet: An Unsupervised Representation Learning Method for Limited InformationGerman Conference on Pattern Recognition (GCPR), 2023
Huili Huang
M. M. Roozbahani
SSL
266
787
0
03 Oct 2023
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingIEEE International Conference on Computer Vision (ICCV), 2023
Mattia Segu
Bernt Schiele
Fisher Yu
TTA
235
14
0
03 Oct 2023
Beyond the Benchmark: Detecting Diverse Anomalies in Videos
Beyond the Benchmark: Detecting Diverse Anomalies in Videos
Yoav Arad
Michael Werman
146
3
0
03 Oct 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image
  Segmentation with Limited Annotation
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited AnnotationNeural Information Processing Systems (NeurIPS), 2023
Zhangsihao Yang
Mengwei Ren
Kaize Ding
Guido Gerig
Yalin Wang
SSL
191
8
0
02 Oct 2023
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to
  Pre-trained Encoders in Self-supervised Learning
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised LearningComputers & security (Comput. Secur.), 2023
Qiannan Wang
Changchun Yin
Jiafei Wu
Liming Fang
Run Wang
Chenhao Lin
AAML
197
13
0
01 Oct 2023
Style Transfer and Self-Supervised Learning Powered Myocardium
  Infarction Super-Resolution Segmentation
Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution SegmentationSymposium on Medical Information Processing and Analysis (MIPA), 2023
Lichao Wang
Jiahao Huang
Xiaodan Xing
Yinzhe Wu
R. Rajakulasingam
Andrew D. Scott
Pedro F. Ferreira
Ranil De Silva
S. Nielles-Vallespin
Guang Yang
MedImSupR
84
0
0
27 Sep 2023
Inherit with Distillation and Evolve with Contrast: Exploring Class
  Incremental Semantic Segmentation Without Exemplar Memory
Inherit with Distillation and Evolve with Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar MemoryIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Danpei Zhao
Bo Yuan
Z. Shi
VLMCLL
248
17
0
27 Sep 2023
M$^{3}$3D: Learning 3D priors using Multi-Modal Masked Autoencoders for
  2D image and video understanding
M3^{3}33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understandingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Muhammad Abdullah Jamal
Omid Mohareri
3DPC
208
2
0
26 Sep 2023
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial
  Datasets
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets
Daria Reshetova
Swetava Ganguli
C. V. K. Iyer
Vipul Pandey
175
4
0
26 Sep 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series
  in Contrastive Learning
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive LearningNeural Information Processing Systems (NeurIPS), 2023
B. U. Demirel
Christian Holz
AI4TS
233
33
0
23 Sep 2023
Understanding Calibration of Deep Neural Networks for Medical Image
  Classification
Understanding Calibration of Deep Neural Networks for Medical Image Classification
A. Sambyal
Usma Niyaz
N. C. Krishnan
Deepti R. Bathula
218
16
0
22 Sep 2023
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and
  Saliency Tells You Where
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You WhereIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zhi-Yi Chin
Chieh-Ming Jiang
Ching-Chun Huang
Pin-Yu Chen
Wei-Chen Chiu
SSL
277
2
0
22 Sep 2023
A Study of Forward-Forward Algorithm for Self-Supervised Learning
A Study of Forward-Forward Algorithm for Self-Supervised Learning
Jonas Brenig
Radu Timofte
SSL
205
6
0
21 Sep 2023
Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments
Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments
Yifei Chen
Kunyu Peng
Alina Roitberg
David Schneider
Kailai Li
Junwei Zheng
R. Liu
Yufan Chen
Kailun Yang
Rainer Stiefelhagen
294
0
0
21 Sep 2023
Online Supervised Training of Spaceborne Vision during Proximity
  Operations using Adaptive Kalman Filtering
Online Supervised Training of Spaceborne Vision during Proximity Operations using Adaptive Kalman FilteringIEEE International Conference on Robotics and Automation (ICRA), 2023
T. Park
Simone DÁmico
299
13
0
20 Sep 2023
Weak Supervision for Label Efficient Visual Bug Detection
Weak Supervision for Label Efficient Visual Bug Detection
F. Rahman
133
3
0
20 Sep 2023
Heterogeneous Generative Knowledge Distillation with Masked Image
  Modeling
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling
Ziming Wang
Shumin Han
Xiaodi Wang
Jing Hao
Xianbin Cao
Baochang Zhang
VLM
216
1
0
18 Sep 2023
Previous
123...678...383940
Next