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. 1910.09217
  4. Cited By
Decoupling Representation and Classifier for Long-Tailed Recognition

Decoupling Representation and Classifier for Long-Tailed Recognition

21 October 2019
Bingyi Kang
Saining Xie
Marcus Rohrbach
Zhicheng Yan
Albert Gordo
Jiashi Feng
Yannis Kalantidis
    OODD
ArXivPDFHTML

Papers citing "Decoupling Representation and Classifier for Long-Tailed Recognition"

50 / 656 papers shown
Title
Edge-guided and Class-balanced Active Learning for Semantic Segmentation
  of Aerial Images
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
Lianlei Shan
Weiqiang Wang
Ke Lv
Bin Luo
VLM
25
0
0
28 May 2024
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning
  Perspective
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
Leyuan Wang
Liuyu Xiang
Yunlong Wang
Huijia Wu
Zhaofeng He
CLL
22
0
0
24 May 2024
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
Xiaoyu Yang
Jie Lu
Enshui Yu
VLM
45
1
0
22 May 2024
What Radio Waves Tell Us about Sleep
What Radio Waves Tell Us about Sleep
Hao He
Chao Li
W. Ganglberger
Kaileigh Gallagher
Rumen Hristov
Michail Ouroutzoglou
Haoqi Sun
Jimeng Sun
Brandon Westover
Dina Katabi
28
2
0
20 May 2024
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive
  Learning for Text Classification
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
Mengyu Li
Yonghao Liu
Fausto Giunchiglia
Xiaoyue Feng
Renchu Guan
VLM
42
5
0
19 May 2024
Harnessing Hierarchical Label Distribution Variations in Test Agnostic
  Long-tail Recognition
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition
Zhiyong Yang
Qianqian Xu
Zitai Wang
Sicong Li
Boyu Han
Shilong Bao
Xiaochun Cao
Qingming Huang
33
8
0
13 May 2024
Multi-level Personalized Federated Learning on Heterogeneous and
  Long-Tailed Data
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
Rongyu Zhang
Yun Chen
Chenrui Wu
Fangxin Wang
Boyan Li
35
12
0
10 May 2024
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic
  Scenarios
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios
Chirag Parikh
Ravi Shankar Mishra
Rohan Chandra
Ravi Kiran Sarvadevabhatla
32
1
0
08 May 2024
Imbalanced Graph Classification with Multi-scale Oversampling Graph
  Neural Networks
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
Rongrong Ma
Guansong Pang
Ling-Hao Chen
AI4CE
31
0
0
08 May 2024
SCALA: Split Federated Learning with Concatenated Activations and Logit
  Adjustments
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
Jiarong Yang
Yuan Liu
FedML
36
2
0
08 May 2024
Transitive Vision-Language Prompt Learning for Domain Generalization
Transitive Vision-Language Prompt Learning for Domain Generalization
Liyuan Wang
Yan Jin
Zhen Chen
Jinlin Wu
Mengke Li
Yang Lu
Hanzi Wang
VLM
VPVLM
LRM
52
0
0
29 Apr 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation
Boosting Model Resilience via Implicit Adversarial Data Augmentation
Xiaoling Zhou
Wei Ye
Zhemg Lee
Rui Xie
Shi-Bo Zhang
28
1
0
25 Apr 2024
A Survey of Deep Long-Tail Classification Advancements
A Survey of Deep Long-Tail Classification Advancements
Charika De Alvis
Suranga Seneviratne
28
1
0
24 Apr 2024
Unveiling and Mitigating Generalized Biases of DNNs through the
  Intrinsic Dimensions of Perceptual Manifolds
Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds
Yanbiao Ma
Licheng Jiao
Fang Liu
Lingling Li
Wenping Ma
Shuyuan Yang
Xu Liu
Puhua Chen
44
0
0
22 Apr 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed
  Classification
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification
Zhuo Li
He Zhao
Zhen Li
Tongliang Liu
Dandan Guo
Xiang Wan
NoLa
33
1
0
10 Apr 2024
Latent-based Diffusion Model for Long-tailed Recognition
Latent-based Diffusion Model for Long-tailed Recognition
Pengxiao Han
Changkun Ye
Jieming Zhou
Jing Zhang
Jie Hong
Xuesong Li
48
4
0
06 Apr 2024
DELTA: Decoupling Long-Tailed Online Continual Learning
DELTA: Decoupling Long-Tailed Online Continual Learning
S. Raghavan
Jiangpeng He
F. Zhu
69
2
0
06 Apr 2024
SP$^2$OT: Semantic-Regularized Progressive Partial Optimal Transport for
  Imbalanced Clustering
SP2^22OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering
Chuyu Zhang
Hui Ren
Xuming He
OT
37
0
0
04 Apr 2024
DeiT-LT Distillation Strikes Back for Vision Transformer Training on
  Long-Tailed Datasets
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
Harsh Rangwani
Pradipto Mondal
Mayank Mishra
Ashish Ramayee Asokan
R. V. Babu
29
8
0
03 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised
  Learning
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
Hongwei Zheng
Linyuan Zhou
Han Li
Jinming Su
Xiaoming Wei
Xiaoming Xu
29
4
0
01 Apr 2024
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained
  Model
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model
Jihun Kim
Dahyun Kim
Hyungrok Jung
Taeil Oh
Jonghyun Choi
MQ
47
0
0
30 Mar 2024
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition
  in Conversation
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
Fangxu Yu
Junjie Guo
Zhen Wu
Xinyu Dai
37
7
0
29 Mar 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
37
6
0
29 Mar 2024
Gradient-based Sampling for Class Imbalanced Semi-supervised Object
  Detection
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Jiaming Li
Xiangru Lin
Wei Zhang
Xiao Tan
Yingying Li
Junyu Han
Errui Ding
Jingdong Wang
Guanbin Li
34
8
0
22 Mar 2024
Accurately Predicting Probabilities of Safety-Critical Rare Events for
  Intelligent Systems
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
Ruoxuan Bai
Jingxuan Yang
Weiduo Gong
Yi Zhang
Qiujing Lu
Shuo Feng
50
1
0
20 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced
  Semi-Supervised Learning
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee
Heeyoung Kim
35
1
0
15 Mar 2024
Revisiting Adversarial Training under Long-Tailed Distributions
Revisiting Adversarial Training under Long-Tailed Distributions
Xinli Yue
Ningping Mou
Qian Wang
Lingchen Zhao
AAML
31
7
0
15 Mar 2024
Gradient-Aware Logit Adjustment Loss for Long-tailed Classifier
Gradient-Aware Logit Adjustment Loss for Long-tailed Classifier
Fan Zhang
Wei Qin
Weijieying Ren
Lei Wang
Zetong Chen
Richang Hong
24
1
0
14 Mar 2024
Iterative Online Image Synthesis via Diffusion Model for Imbalanced
  Classification
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification
Shuhan Li
Yi-Mou Lin
Hao Chen
Kwang-Ting Cheng
37
3
0
13 Mar 2024
Decoupled Federated Learning on Long-Tailed and Non-IID data with
  Feature Statistics
Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
Zhuoxin Chen
Zhenyu Wu
Yang Ji
FedML
26
1
0
13 Mar 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Chaoqun Du
Yulin Wang
Shiji Song
Gao Huang
41
24
0
11 Mar 2024
Decoupled Contrastive Learning for Long-Tailed Recognition
Decoupled Contrastive Learning for Long-Tailed Recognition
Shiyu Xuan
Shiliang Zhang
36
5
0
10 Mar 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content
QiHao Zhao
Yalun Dai
Hao Li
Wei Hu
Fan Zhang
Jun Liu
34
15
0
09 Mar 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition
Jie Shao
Ke Zhu
Hanxiao Zhang
Jianxin Wu
35
4
0
08 Mar 2024
Delving into the Trajectory Long-tail Distribution for Muti-object
  Tracking
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
Sijia Chen
En Yu
Jinyang Li
Wenbing Tao
DiffM
35
12
0
07 Mar 2024
Complexity Matters: Dynamics of Feature Learning in the Presence of
  Spurious Correlations
Complexity Matters: Dynamics of Feature Learning in the Presence of Spurious Correlations
GuanWen Qiu
Da Kuang
Surbhi Goel
27
8
0
05 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution
  with Label Refurbishment Considering Label Rarity
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
Ying-Hsuan Wu
Jun-Wei Hsieh
Li Xin
Shin-You Teng
Yi-Kuan Hsieh
Ming-Ching Chang
NoLa
46
0
0
04 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCV
OOD
38
4
0
01 Mar 2024
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple
  Logits Retargeting Approach
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach
Han Lu
Siyu Sun
Yichen Xie
Liqing Zhang
Xiaokang Yang
Junchi Yan
37
1
0
01 Mar 2024
Evolving to the Future: Unseen Event Adaptive Fake News Detection on
  Social Media
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
Jiajun Zhang
Zhixun Li
Qiang Liu
Shu Wu
Liang Wang
27
1
0
29 Feb 2024
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
Jiequan Cui
Beier Zhu
Xin Wen
Xiaojuan Qi
Bei Yu
H. Zhang
25
7
0
28 Feb 2024
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via
  Unconditional Training at Lower Resolutions
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
Saeed Khorram
Mingqi Jiang
Mohamad Shahbazi
Mohamad H. Danesh
Li Fuxin
GAN
44
1
0
26 Feb 2024
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed
  Semi-Supervised Learning
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Chaoqun Du
Yizeng Han
Gao Huang
43
4
0
21 Feb 2024
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal
  Learning for Glaucoma Forecasting from Irregular Time Series Images
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images
Xikai Yang
Jian Wu
Xi Wang
Yuchen Yuan
N. Wang
Pheng-Ann Heng
AI4TS
MedIm
29
0
0
21 Feb 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
Divin Yan
Lu Qi
Vincent Tao Hu
Ming-Hsuan Yang
Meng Tang
29
5
0
16 Feb 2024
Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction
Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction
Kuniaki Saito
Kihyuk Sohn
Chen-Yu Lee
Yoshitaka Ushiku
62
2
0
16 Feb 2024
Node Duplication Improves Cold-start Link Prediction
Node Duplication Improves Cold-start Link Prediction
Zhichun Guo
Tong Zhao
Yozen Liu
Kaiwen Dong
William Shiao
Neil Shah
Nitesh V. Chawla
AI4CE
18
3
0
15 Feb 2024
A novel spatial-frequency domain network for zero-shot incremental
  learning
A novel spatial-frequency domain network for zero-shot incremental learning
Jie Ren
Yang Zhao
Weichuan Zhang
Changming Sun
CLL
24
1
0
11 Feb 2024
TaE: Task-aware Expandable Representation for Long Tail Class
  Incremental Learning
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning
Linjie Li
S. Liu
Zhenyu Wu
JI yang
CLL
39
0
0
08 Feb 2024
Data-efficient Large Vision Models through Sequential Autoregression
Data-efficient Large Vision Models through Sequential Autoregression
Jianyuan Guo
Zhiwei Hao
Chengcheng Wang
Yehui Tang
Han Wu
Han Hu
Kai Han
Chang Xu
VLM
38
10
0
07 Feb 2024
Previous
123456...121314
Next