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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
ArXiv (abs)PDFHTML

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

50 / 1,940 papers shown
Title
Deep Tensor Network
Deep Tensor Network
Yifan Zhang
114
0
0
18 Nov 2023
Toulouse Hyperspectral Data Set: a benchmark data set to assess
  semi-supervised spectral representation learning and pixel-wise
  classification techniques
Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques
R. Thoreau
Laurent Risser
V. Achard
Béatrice Berthelot
X. Briottet
157
6
0
15 Nov 2023
Test-Time Training for Semantic Segmentation with Output Contrastive
  Loss
Test-Time Training for Semantic Segmentation with Output Contrastive Loss
Yunlong Zhang
Yuxuan Sun
Sunyi Zheng
Zhongyi Shui
Chenglu Zhu
Lin Yang
VLM
83
3
0
14 Nov 2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
Yunqiao Yang
Long-Kai Huang
Ying Wei
69
2
0
12 Nov 2023
Contrastive Learning of View-Invariant Representations for Facial
  Expressions Recognition
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition
Shuvendu Roy
Ali Etemad
106
2
0
12 Nov 2023
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual
  Categorization Targeting Limited Samples
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples
Ziye Fang
Xin Jiang
Hao Tang
Zechao Li
92
14
0
10 Nov 2023
TransformCode: A Contrastive Learning Framework for Code Embedding via
  Subtree Transformation
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
Zixiang Xian
Rubing Huang
Dave Towey
Chunrong Fang
Zhenyu Chen
75
6
0
10 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang
Aly A. Khan
Yuxin Chen
Robert L. Grossman
83
0
0
09 Nov 2023
Self-similarity Prior Distillation for Unsupervised Remote Physiological
  Measurement
Self-similarity Prior Distillation for Unsupervised Remote Physiological Measurement
Xinyu Zhang
Weiyu Sun
Hao Lu
Ying-Cong Chen
Yun Ge
Xiaolin Huang
Jie Yuan
Yingcong Chen
48
2
0
09 Nov 2023
Learning Discriminative Features for Crowd Counting
Learning Discriminative Features for Crowd Counting
Yuehai Chen
Qingzhong Wang
Jing Yang
Badong Chen
Haoyi Xiong
Shaoyi Du
89
8
0
08 Nov 2023
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
49
2
0
07 Nov 2023
CycleCL: Self-supervised Learning for Periodic Videos
CycleCL: Self-supervised Learning for Periodic Videos
Matteo Destro
Michael Gygli
SSL
102
2
0
05 Nov 2023
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation
  for Grounding-Based Vision and Language Models
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models
Jingru Yi
Burak Uzkent
Oana Ignat
Zili Li
Amanmeet Garg
Xiang Yu
Linda Liu
VLM
78
1
0
05 Nov 2023
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D
  Pre-training
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
Yipeng Gao
Zeyu Wang
Wei-Shi Zheng
Cihang Xie
Yuyin Zhou
3DPC
150
10
0
03 Nov 2023
Learning Intra and Inter-Camera Invariance for Isolated Camera
  Supervised Person Re-identification
Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identification
Menglin Wang
Xiaojin Gong
67
1
0
02 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
66
0
0
01 Nov 2023
Contrastive Difference Predictive Coding
Contrastive Difference Predictive Coding
Chongyi Zheng
Ruslan Salakhutdinov
Benjamin Eysenbach
AI4TSOffRL
74
17
0
31 Oct 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals
  in Factorized Orthogonal Latent Space
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Shengzhong Liu
Tomoyoshi Kimura
Dongxin Liu
Ruijie Wang
Jinyang Li
Suhas Diggavi
Mani B. Srivastava
Tarek Abdelzaher
AI4TS
86
27
0
30 Oct 2023
A Principled Hierarchical Deep Learning Approach to Joint Image
  Compression and Classification
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
Siyu Qi
Achintha Wijesinghe
Lahiru D. Chamain
Zhi Ding
41
0
0
30 Oct 2023
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised
  Pre-trained Models
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models
Shentong Mo
Zhun Sun
Chao Li
26
2
0
28 Oct 2023
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
111
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
100
21
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
93
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
78
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
98
11
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
74
3
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
69
3
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
72
6
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
126
3
0
19 Oct 2023
Heterogenous Memory Augmented Neural Networks
Heterogenous Memory Augmented Neural Networks
Zihan Qiu
Zhen Liu
Shuicheng Yan
Shanghang Zhang
Jie Fu
68
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
AI4CEOODFedML
106
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
64
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
60
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
104
9
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
89
9
0
11 Oct 2023
Adaptive Multi-head Contrastive Learning
Adaptive Multi-head Contrastive Learning
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
109
5
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
113
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
62
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
MedImVLMLM&MA
71
23
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
88
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
221
1
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
VLMViT
138
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
42
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
138
804
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
103
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
124
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
99
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
105
1
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
83
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
82
51
0
28 Sep 2023
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