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. 2111.13998
  4. Cited By
Targeted Supervised Contrastive Learning for Long-Tailed Recognition

Targeted Supervised Contrastive Learning for Long-Tailed Recognition

27 November 2021
Tianhong Li
Peng Cao
Yuan. Yuan
Lijie Fan
Yuzhe Yang
Rogerio Feris
Piotr Indyk
Dina Katabi
ArXivPDFHTML

Papers citing "Targeted Supervised Contrastive Learning for Long-Tailed Recognition"

50 / 101 papers shown
Title
Learning Objective-Specific Active Learning Strategies with Attentive
  Neural Processes
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
14
2
0
11 Sep 2023
Frequency-Aware Self-Supervised Long-Tailed Learning
Frequency-Aware Self-Supervised Long-Tailed Learning
Ci-Siang Lin
Min-Hung Chen
Y. Wang
15
2
0
09 Sep 2023
Uniformly Distributed Category Prototype-Guided Vision-Language
  Framework for Long-Tail Recognition
Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition
Siming Fu
Xiaoxuan He
Xinpeng Ding
Yuchen Cao
Hualiang Wang
VLM
16
6
0
24 Aug 2023
MDCS: More Diverse Experts with Consistency Self-distillation for
  Long-tailed Recognition
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition
QiHao Zhao
Chen Jiang
Wei Hu
Fangying Zhang
Jun Liu
19
11
0
19 Aug 2023
Few-shot $\mathbf{1/a}$ Anomalies Feedback : Damage Vision Mining
  Opportunity and Embedding Feature Imbalance
Few-shot 1/a\mathbf{1/a}1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance
Takato Yasuno
AI4TS
19
0
0
24 Jul 2023
Bone mineral density estimation from a plain X-ray image by learning
  decomposition into projections of bone-segmented computed tomography
Bone mineral density estimation from a plain X-ray image by learning decomposition into projections of bone-segmented computed tomography
Yidong Gu
Yoshito Otake
Keisuke Uemura
Mazen Soufi
Masaki Takao
Hugues Talbot
S. Okada
Nobuhiko Sugano
Yoshinobu Sato
OOD
16
10
0
21 Jul 2023
Class Instance Balanced Learning for Long-Tailed Classification
Class Instance Balanced Learning for Long-Tailed Classification
Marc-Antoine Lavoie
Steven Waslander
29
0
0
11 Jul 2023
Unbiased Scene Graph Generation via Two-stage Causal Modeling
Unbiased Scene Graph Generation via Two-stage Causal Modeling
Shuzhou Sun
Shuaifeng Zhi
Qing Liao
J. Heikkilä
Li Liu
CML
13
32
0
11 Jul 2023
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion
  Classification
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
Yilan Zhang
Jianqi Chen
K. Wang
Feng-ying Xie
17
7
0
09 Jul 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Subclass-balancing Contrastive Learning for Long-tailed Recognition
Chengkai Hou
Jieyu Zhang
Hong Wang
Tianyi Zhou
8
21
0
28 Jun 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive
  Loss: The Impact of ReLU and Batching
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
Jaidev Gill
Christos Thrampoulidis
9
1
0
13 Jun 2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised
  Long-Tail Learning
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Jianhong Bai
Zuozhu Liu
Hualiang Wang
Jinxiang Hao
Yang Feng
Huanpeng Chu
Haoji Hu
OODD
26
16
0
08 Jun 2023
Exploring Weight Balancing on Long-Tailed Recognition Problem
Exploring Weight Balancing on Long-Tailed Recognition Problem
Naoya Hasegawa
Issei Sato
17
6
0
26 May 2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
Wujian Peng
Zejia Weng
Hengduo Li
Zuxuan Wu
14
0
0
22 May 2023
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition
Mengke Li
Y. Cheung
Yang Lu
Zhikai Hu
Weichao Lan
Hui Huang
22
5
0
18 May 2023
Global and Local Mixture Consistency Cumulative Learning for Long-tailed
  Visual Recognitions
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
Fei Du
Peng Yang
Qi Jia
Fengtao Nan
Xiaoting Chen
Yun Yang
14
25
0
15 May 2023
Towards Effective Collaborative Learning in Long-Tailed Recognition
Towards Effective Collaborative Learning in Long-Tailed Recognition
Zhengzhuo Xu
Zenghao Chai
Chengying Xu
Chun Yuan
Haiqin Yang
8
4
0
05 May 2023
Unraveling Instance Associations: A Closer Look for Audio-Visual
  Segmentation
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
Yuanhong Chen
Yuyuan Liu
Hu Wang
Fengbei Liu
Chong Wang
Helen Frazer
G. Carneiro
VOS
10
5
0
06 Apr 2023
ACTION++: Improving Semi-supervised Medical Image Segmentation with
  Adaptive Anatomical Contrast
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast
Chenyu You
Weicheng Dai
Yifei Min
Lawrence H. Staib
Jasjeet Sekhon
James S. Duncan
MedIm
10
35
0
05 Apr 2023
Use Your Head: Improving Long-Tail Video Recognition
Use Your Head: Improving Long-Tail Video Recognition
Toby Perrett
Saptarshi Sinha
T. Burghardt
Majid Mirmehdi
Dima Damen
23
15
0
03 Apr 2023
FEND: A Future Enhanced Distribution-Aware Contrastive Learning
  Framework for Long-tail Trajectory Prediction
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
Yuning Wang
Pu Zhang
Lei Bai
Jianru Xue
17
23
0
29 Mar 2023
No One Left Behind: Improving the Worst Categories in Long-Tailed
  Learning
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning
Yingxiao Du
Jianxin Wu
24
13
0
07 Mar 2023
Inducing Neural Collapse in Deep Long-tailed Learning
Inducing Neural Collapse in Deep Long-tailed Learning
Xuantong Liu
Jianfeng Zhang
Tianyang Hu
He Cao
Lujia Pan
Yuan Yao
20
27
0
24 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
Sumyeong Ahn
Jongwoo Ko
Se-Young Yun
16
29
0
10 Feb 2023
Contrastive Learning with Consistent Representations
Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
16
5
0
03 Feb 2023
Revisiting Long-tailed Image Classification: Survey and Benchmarks with
  New Evaluation Metrics
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics
Chaowei Fang
Dingwen Zhang
Wen Zheng
Xue Li
Le Yang
Lechao Cheng
Junwei Han
VLM
17
4
0
03 Feb 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
Zhisheng Zhong
Jiequan Cui
Yibo Yang
Xiaoyang Wu
Xiaojuan Qi
X. Zhang
Jiaya Jia
124
44
0
03 Jan 2023
Contactless Oxygen Monitoring with Gated Transformer
Contactless Oxygen Monitoring with Gated Transformer
Hao He
Yuan Yuan
Ying Chen
Peng Cao
Dina Katabi
8
4
0
06 Dec 2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Yutong Dai
Z. Chen
Junnan Li
Shelby Heinecke
Lichao Sun
Ran Xu
FedML
13
74
0
06 Dec 2022
Learning Imbalanced Data with Vision Transformers
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu
R. Liu
Shuo Yang
Zenghao Chai
Chun Yuan
17
29
0
05 Dec 2022
Leveraging Angular Information Between Feature and Classifier for
  Long-tailed Learning: A Prediction Reformulation Approach
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
Haoxu Wang
Junchi Yan
17
1
0
03 Dec 2022
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection
  in Semantic Segmentation
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Yuyuan Liu
Choubo Ding
Yu Tian
Guansong Pang
Vasileios Belagiannis
Ian Reid
G. Carneiro
OODD
13
38
0
26 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
10
4
0
24 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed
  Recognition
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition
Minki Jeong
Changick Kim
23
1
0
22 Nov 2022
MAGE: MAsked Generative Encoder to Unify Representation Learning and
  Image Synthesis
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
Tianhong Li
Huiwen Chang
Shlok Kumar Mishra
Han Zhang
Dina Katabi
Dilip Krishnan
8
149
0
16 Nov 2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object
  Recognition
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Jingru Tan
Bo-wen Li
Xin Lu
Yongqiang Yao
F. Yu
Tong He
Wanli Ouyang
26
8
0
11 Oct 2022
Rank-N-Contrast: Learning Continuous Representations for Regression
Rank-N-Contrast: Learning Continuous Representations for Regression
Kaiwen Zha
Peng Cao
Jeany Son
Yuzhe Yang
Dina Katabi
CML
38
37
0
03 Oct 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap
  Coefficient for Long-tailed Learning
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
Hualiang Wang
Siming Fu
Xiaoxuan He
Han Fang
Zuozhu Liu
Haoji Hu
19
17
0
22 Aug 2022
OpenCon: Open-world Contrastive Learning
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Yixuan Li
VLM
SSL
DRL
35
39
0
04 Aug 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Jianggang Zhu
Z. Wang
Jingjing Chen
Yi-Ping Phoebe Chen
Yueping Jiang
8
164
0
19 Jul 2022
Unsupervised Learning for Human Sensing Using Radio Signals
Unsupervised Learning for Human Sensing Using Radio Signals
Tianhong Li
Lijie Fan
Yuan. Yuan
Dina Katabi
SSL
37
34
0
06 Jul 2022
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical
  Image Classification
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
Nannan Wu
Li Yu
Xin Yang
Kwang-Ting Cheng
Zengqiang Yan
FedML
32
19
0
28 Jun 2022
A Survey on Long-Tailed Visual Recognition
A Survey on Long-Tailed Visual Recognition
Lu Yang
He Jiang
Q. Song
Jun Guo
11
123
0
27 May 2022
Contrastive Learning with Boosted Memorization
Contrastive Learning with Boosted Memorization
Zhihan Zhou
Jiangchao Yao
Yanfeng Wang
Bo Han
Ya-Qin Zhang
SSL
12
29
0
25 May 2022
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain
  Generalization and Beyond
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond
Yuzhe Yang
Hao Wang
Dina Katabi
AI4CE
6
38
0
17 Mar 2022
Improving Tail-Class Representation with Centroid Contrastive Learning
Improving Tail-Class Representation with Centroid Contrastive Learning
A. M. H. Tiong
Junnan Li
Guosheng Lin
Boyang Albert Li
Caiming Xiong
S. Hoi
VLM
15
13
0
19 Oct 2021
Self-Contrastive Learning: Single-viewed Supervised Contrastive
  Framework using Sub-network
Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network
Sangmin Bae
Sungnyun Kim
Jongwoo Ko
Gihun Lee
SeungJong Noh
Se-Young Yun
SSL
12
6
0
29 Jun 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
135
278
0
12 Feb 2021
Addressing Feature Suppression in Unsupervised Visual Representations
Addressing Feature Suppression in Unsupervised Visual Representations
Tianhong Li
Lijie Fan
Yuan. Yuan
Hao He
Yonglong Tian
Rogerio Feris
Piotr Indyk
Dina Katabi
SSL
14
15
0
17 Dec 2020
In-Home Daily-Life Captioning Using Radio Signals
In-Home Daily-Life Captioning Using Radio Signals
Lijie Fan
Tianhong Li
Yuan. Yuan
Dina Katabi
19
47
0
25 Aug 2020
Previous
123
Next