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. 1805.01978
  4. Cited By
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

5 May 2018
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

50 / 1,921 papers shown
Title
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Zijie Song
Zhenzhen Hu
Richang Hong
SSL
46
0
0
27 Oct 2023
Cross-modal Active Complementary Learning with Self-refining
  Correspondence
Cross-modal Active Complementary Learning with Self-refining Correspondence
Yang Qin
Yuan Sun
Dezhong Peng
Qiufeng Wang
Xiaocui Peng
Peng Hu
31
18
0
26 Oct 2023
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Quentin Bouniot
Romaric Audigier
Angélique Loesch
Amaury Habrard
ViT
39
2
0
25 Oct 2023
SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning
  Framework for Emotion Recognition in Conversations
SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations
Tao Shi
Xiao Liang
Yaoyuan Liang
Xinyi Tong
Shao-Lun Huang
29
0
0
25 Oct 2023
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph
  prediction
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction
Sebastian Koch
Pedro Hermosilla
Narunas Vaskevicius
Mirco Colosi
Timo Ropinski
37
9
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-Encoder
Huiwon Jang
Jihoon Tack
Daewon Choi
Jongheon Jeong
Jinwoo Shin
21
2
0
25 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
27
2
0
24 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
37
4
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
27
2
0
19 Oct 2023
Heterogenous Memory Augmented Neural Networks
Heterogenous Memory Augmented Neural Networks
Zihan Qiu
Zhen Liu
Shuicheng Yan
Shanghang Zhang
Jie Fu
20
0
0
17 Oct 2023
Towards Unified and Effective Domain Generalization
Towards Unified and Effective Domain Generalization
Yiyuan Zhang
Kaixiong Gong
Xiaohan Ding
Kaipeng Zhang
Fangrui Lv
Kurt Keutzer
Xiangyu Yue
AI4CE
OOD
FedML
43
4
0
16 Oct 2023
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence
  Embeddings
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings
Zhuofeng Wu
Chaowei Xiao
V. Vydiswaran
28
2
0
15 Oct 2023
Towards End-to-End Unsupervised Saliency Detection with Self-Supervised
  Top-Down Context
Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context
Yicheng Song
Shuyong Gao
Haozhe Xing
Yiting Cheng
Yan Wang
Wenqiang Zhang
18
1
0
14 Oct 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced
  Transfer Learning
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang
Yimeng Zhang
Aochuan Chen
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
37
8
0
13 Oct 2023
ProFSA: Self-supervised Pocket Pretraining via Protein
  Fragment-Surroundings Alignment
ProFSA: Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
Bowen Gao
Yinjun Jia
Yuanle Mo
Yuyan Ni
Wei-Ying Ma
Zhiming Ma
Yanyan Lan
27
7
0
11 Oct 2023
Adaptive Multi-head Contrastive Learning
Adaptive Multi-head Contrastive Learning
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
41
4
0
09 Oct 2023
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery
  Detection
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection
Weihua Liu
Lin Li
Chaochao Lin
Said Boumaraf
CVBM
36
0
0
08 Oct 2023
Enhancing Representations through Heterogeneous Self-Supervised Learning
Enhancing Representations through Heterogeneous Self-Supervised Learning
Zhongyu Li
Bo-Wen Yin
Yongxiang Liu
Li Liu
Ming-Ming Cheng
SSL
28
2
0
08 Oct 2023
VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for
  Generalist Ophthalmic Artificial Intelligence
VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
Jianing Qiu
Jian Wu
Hao Wei
Peilun Shi
Minqing Zhang
...
Benny Lo
Yih-Chung Tham
T. Y. Wong
Ningli Wang
Wu Yuan
MedIm
VLM
LM&MA
24
21
0
08 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
49
4
0
06 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology
URLOST: Unsupervised Representation Learning without Stationarity or Topology
Zeyu Yun
Juexiao Zhang
Bruno A. Olshausen
Yann LeCun
31
0
0
06 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Hui Xiong
VLM
ViT
54
2
0
05 Oct 2023
Co-modeling the Sequential and Graphical Routes for Peptide
  Representation Learning
Co-modeling the Sequential and Graphical Routes for Peptide Representation Learning
Zihan Liu
Ge Wang
Jiaqi Wang
Jiangbin Zheng
Stan Z. Li
AI4TS
9
2
0
04 Oct 2023
ScaleNet: An Unsupervised Representation Learning Method for Limited
  Information
ScaleNet: An Unsupervised Representation Learning Method for Limited Information
Huili Huang
M. M. Roozbahani
SSL
32
806
0
03 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
30
13
0
03 Oct 2023
CLIP Is Also a Good Teacher: A New Learning Framework for Inductive
  Zero-shot Semantic Segmentation
CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation
Jialei Chen
Daisuke Deguchi
Chenkai Zhang
Xu Zheng
Hiroshi Murase
VLM
19
9
0
03 Oct 2023
Self-supervised Learning of Contextualized Local Visual Embeddings
Self-supervised Learning of Contextualized Local Visual Embeddings
T. Silva
Hélio Pedrini
Adín Ramirez Rivera
SSL
23
3
0
01 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation
  Learning
Structural Adversarial Objectives for Self-Supervised Representation Learning
Xiao Zhang
Michael Maire
16
0
0
30 Sep 2023
Information Flow in Self-Supervised Learning
Information Flow in Self-Supervised Learning
Zhiyuan Tan
Jingqin Yang
Weiran Huang
Yang Yuan
Yifan Zhang
SSL
36
14
0
29 Sep 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance
  Similarity Learning
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
Wenke Huang
J. J. Valero-Mas
Dasaem Jeong
Bo Du
FedML
38
44
0
28 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 Memory
Danpei Zhao
Bo Yuan
Z. Shi
VLM
CLL
33
9
0
27 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
37
3
0
26 Sep 2023
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
Patrick Feeney
M. C. Hughes
36
3
0
25 Sep 2023
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained
  Recognition
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition
Oindrila Saha
Subhransu Maji
SSL
34
2
0
25 Sep 2023
Spatial-frequency channels, shape bias, and adversarial robustness
Spatial-frequency channels, shape bias, and adversarial robustness
Ajay Subramanian
E. Sizikova
N. Majaj
D. Pelli
AAML
40
22
0
22 Sep 2023
SCOB: Universal Text Understanding via Character-wise Supervised
  Contrastive Learning with Online Text Rendering for Bridging Domain Gap
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap
Daehee Kim
Yoon Kim
Donghyun Kim
Yumin Lim
Geewook Kim
Taeho Kil
34
3
0
21 Sep 2023
Unlocking the Heart Using Adaptive Locked Agnostic Networks
Unlocking the Heart Using Adaptive Locked Agnostic Networks
Sylwia Majchrowska
Anders Hildeman
Philip Teare
Tom Diethe
21
1
0
21 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised
  Learning
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Thanh Nguyen
T. Pham
Chaoning Zhang
Tung M. Luu
Thang Vu
Chang D. Yoo
27
9
0
21 Sep 2023
Open-Vocabulary Affordance Detection using Knowledge Distillation and
  Text-Point Correlation
Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation
Tuan V. Vo
Minh Nhat Vu
Baoru Huang
Toan Tien Nguyen
Ngan Le
T. Vo
Anh Nguyen
3DPC
29
10
0
19 Sep 2023
Sound Source Localization is All about Cross-Modal Alignment
Sound Source Localization is All about Cross-Modal Alignment
Arda Senocak
H. Ryu
Junsik Kim
Tae-Hyun Oh
Hanspeter Pfister
Joon Son Chung
36
18
0
19 Sep 2023
OpenMSD: Towards Multilingual Scientific Documents Similarity
  Measurement
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement
Yang Gao
Ji Ma
I. Korotkov
Keith B. Hall
Dana Alon
Donald Metzler
13
0
0
19 Sep 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based
  Visual Analytics Perspective
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective
Laixin Xie
Ouyang Yang
Long-fei Chen
Ziming Wu
Quan Li
23
0
0
18 Sep 2023
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant
  Forgery Clues
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
Kun Pan
Yifang Yin
Yao Wei
Feng Lin
Zhongjie Ba
Zhenguang Liu
Peng Kuang
Lorenzo Cavallaro
Kui Ren
CLL
49
16
0
18 Sep 2023
Self-supervised Multi-view Clustering in Computer Vision: A Survey
Self-supervised Multi-view Clustering in Computer Vision: A Survey
Jiatai Wang
Zhiwei Xu
Xuewen Yang
Hailong Li
Bo Li
Xuying Meng
41
4
0
18 Sep 2023
Leveraging Multi-lingual Positive Instances in Contrastive Learning to
  Improve Sentence Embedding
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding
Kaiyan Zhao
Qiyu Wu
Xin-Qiang Cai
Yoshimasa Tsuruoka
25
7
0
16 Sep 2023
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation
  with Multi-Perspective Meta Labels
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels
YiXuan Wu
Jintai Chen
Jiahuan Yan
Yiheng Zhu
Danny Chen
Jian Wu
VLM
32
6
0
16 Sep 2023
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual
  Masked Autoencoder
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder
Xingjian Diao
Ming Cheng
Shitong Cheng
VGen
27
8
0
15 Sep 2023
A Theoretical and Empirical Study on the Convergence of Adam with an
  "Exact" Constant Step Size in Non-Convex Settings
A Theoretical and Empirical Study on the Convergence of Adam with an "Exact" Constant Step Size in Non-Convex Settings
Alokendu Mazumder
Rishabh Sabharwal
Manan Tayal
Bhartendu Kumar
Punit Rathore
19
0
0
15 Sep 2023
BAGEL: Backdoor Attacks against Federated Contrastive Learning
BAGEL: Backdoor Attacks against Federated Contrastive Learning
Yao Huang
Kongyang Chen
Jiannong Cao
Jiaxing Shen
Shaowei Wang
Yun Peng
Weilong Peng
Kechao Cai
FedML
37
3
0
14 Sep 2023
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention
  Deficit?
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?
Bill Psomas
Ioannis Kakogeorgiou
Konstantinos Karantzalos
Yannis Avrithis
ViT
38
8
0
13 Sep 2023
Previous
123...789...373839
Next