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

50 / 657 papers shown
Title
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
32
13
0
07 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated
  Data
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
Sangwoo Mo
Jong-Chyi Su
Chih-Yao Ma
Mido Assran
Ishan Misra
Licheng Yu
Sean Bell
AI4TS
29
13
0
28 Feb 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information
  Networks
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Xin Gao
Wentao Zhang
Tong Chen
Junliang Yu
Hung Quoc Viet Nguyen
Hongzhi Yin
32
10
0
27 Feb 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
22
27
0
24 Feb 2023
Text Classification in the Wild: a Large-scale Long-tailed Name
  Normalization Dataset
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset
Jiexing Qi
Shuhao Li
Zhixin Guo
Yusheng Huang
Cheng Zhou
Weinan Zhang
Xinbing Wang
Zhouhan Lin
VLM
11
0
0
19 Feb 2023
Mutual Exclusive Modulator for Long-Tailed Recognition
Mutual Exclusive Modulator for Long-Tailed Recognition
Haixu Long
Xiaolin Zhang
Yanbin Liu
Zongtai Luo
Jianbo Liu
14
2
0
19 Feb 2023
Find Beauty in the Rare: Contrastive Composition Feature Clustering for
  Nontrivial Cropping Box Regression
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
Zhiyu Pan
Yinpeng Chen
Jiale Zhang
Hao Lu
Zhiguo Cao
Weicai Zhong
CoGe
25
5
0
17 Feb 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning
FedABC: Targeting Fair Competition in Personalized Federated Learning
Dui Wang
Li Shen
Yong Luo
Han Hu
Kehua Su
Yonggang Wen
Dacheng Tao
FedML
13
9
0
15 Feb 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE
Generative Oversampling for Imbalanced Data via Majority-Guided VAE
Qingzhong Ai
Pengyun Wang
Lirong He
Liangjiang Wen
Lujia Pan
Zenglin Xu
19
7
0
14 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
23
5
0
11 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
31
30
0
10 Feb 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong
Jiangchao Yao
Zhihan Zhou
Ya-Qin Zhang
Yanfeng Wang
18
26
0
10 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Xiu-Shen Wei
Xuhao Sun
Yang Shen
Anqi Xu
Peng Wang
Faen Zhang
36
1
0
07 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model
  for Noisy Labels and Long-tailed Learning
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning
Sunyi Chi
B. Dong
Yiming Xu
Zhenyu Shi
Zheng Du
NoLa
31
3
0
06 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
29
4
0
03 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition
Learning Prototype Classifiers for Long-Tailed Recognition
Saurabh Sharma
Yongqin Xian
Ning Yu
Ambuj K. Singh
33
13
0
01 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Jianfeng Wang
Xiaolin Hu
Thomas Lukasiewicz
AAML
BDL
28
0
0
31 Jan 2023
DELTA: degradation-free fully test-time adaptation
DELTA: degradation-free fully test-time adaptation
Bowen Zhao
Chen Chen
Shutao Xia
TTA
86
55
0
30 Jan 2023
Integrating Local Real Data with Global Gradient Prototypes for
  Classifier Re-Balancing in Federated Long-Tailed Learning
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning
Wenkai Yang
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
FedML
37
5
0
25 Jan 2023
Long-tail Detection with Effective Class-Margins
Long-tail Detection with Effective Class-Margins
Jang Hyun Cho
Philipp Krahenbuhl
33
17
0
23 Jan 2023
The Best of Both Worlds: Accurate Global and Personalized Models through
  Federated Learning with Data-Free Hyper-Knowledge Distillation
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
Huancheng Chen
Johnny
J. Wang
H. Vikalo
FedML
18
35
0
21 Jan 2023
Towards Spatial Equilibrium Object Detection
Towards Spatial Equilibrium Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ming-Ming Cheng
ObjD
20
0
0
14 Jan 2023
FGAHOI: Fine-Grained Anchors for Human-Object Interaction Detection
FGAHOI: Fine-Grained Anchors for Human-Object Interaction Detection
Shuailei Ma
Yuefeng Wang
Shanze Wang
Ying-yu Wei
40
33
0
08 Jan 2023
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions
Otto Brookes
Majid Mirmehdi
H. Kühl
T. Burghardt
22
14
0
06 Jan 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
132
45
0
03 Jan 2023
Reviewing Labels: Label Graph Network with Top-k Prediction Set for
  Relation Extraction
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
Bo Li
Wei Ye
Jinglei Zhang
Shikun Zhang
18
12
0
29 Dec 2022
Escaping Saddle Points for Effective Generalization on Class-Imbalanced
  Data
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
R. Venkatesh Babu
31
27
0
28 Dec 2022
Bridging Images and Videos: A Simple Learning Framework for Large
  Vocabulary Video Object Detection
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Sanghyun Woo
Kwanyong Park
Seoung Wug Oh
In So Kweon
Joon-Young Lee
VLM
VOS
25
6
0
20 Dec 2022
Context Label Learning: Improving Background Class Representations in
  Semantic Segmentation
Context Label Learning: Improving Background Class Representations in Semantic Segmentation
Zeju Li
Konstantinos Kamnitsas
Cheng Ouyang
Chen Chen
Ben Glocker
VLM
30
6
0
16 Dec 2022
Multi-Modal Domain Fusion for Multi-modal Aerial View Object
  Classification
Multi-Modal Domain Fusion for Multi-modal Aerial View Object Classification
Sumanth Udupa
Aniruddh Sikdar
Suresh Sundaram
15
1
0
14 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation
Cap2Aug: Caption guided Image to Image data Augmentation
Aniket Roy
Anshul B. Shah
Ketul Shah
Anirban Roy
Rama Chellappa
DiffM
25
0
0
11 Dec 2022
Switching to Discriminative Image Captioning by Relieving a Bottleneck
  of Reinforcement Learning
Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning
Ukyo Honda
Taro Watanabe
Yuji Matsumoto
13
9
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
20
77
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
37
32
0
05 Dec 2022
VLG: General Video Recognition with Web Textual Knowledge
VLG: General Video Recognition with Web Textual Knowledge
Jintao Lin
Zhaoyang Liu
Wenhai Wang
Wayne Wu
Limin Wang
39
0
0
03 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
26
1
0
03 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data
Better Generalized Few-Shot Learning Even Without Base Data
Seongwoong Kim
Dong-Wan Choi
24
7
0
29 Nov 2022
Diffusion Probabilistic Model Made Slim
Diffusion Probabilistic Model Made Slim
Xingyi Yang
Daquan Zhou
Jiashi Feng
Xinchao Wang
DiffM
27
102
0
27 Nov 2022
Minority-Oriented Vicinity Expansion with Attentive Aggregation for
  Video Long-Tailed Recognition
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition
WonJun Moon
Hyun Seok Seong
Jae-Pil Heo
VLM
17
5
0
24 Nov 2022
Dynamic Loss For Robust Learning
Dynamic Loss For Robust Learning
Shenwang Jiang
Jianan Li
Jizhou Zhang
Ying Wang
Tingfa Xu
NoLa
OOD
28
6
0
22 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
27
1
0
22 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Haoxing Chen
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Marios Savvides
Bhiksha Raj
32
12
0
20 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration
  Method
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
Manyi Zhang
Xuyang Zhao
Jun Yao
Chun Yuan
Weiran Huang
36
20
0
20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced
  Loss
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
Lefan Zhang
Zhang-Hao Tian
Wujun Zhou
W. Wang
NoLa
24
2
0
20 Nov 2022
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item
  Detection
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
Libo Zhang
Lutao Jiang
Ruyi Ji
Hengrui Fan
13
22
0
19 Nov 2022
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text
  Classification
Pairwise Instance Relation Augmentation for Long-tailed Multi-label Text Classification
Lin Xiao
Pengyu Xu
L. Jing
Xiang-Fei Zhang
19
1
0
19 Nov 2022
Mitigating Forgetting in Online Continual Learning via Contrasting
  Semantically Distinct Augmentations
Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations
Shenghao Yu
Wei-Chen Chiu
CLL
13
1
0
10 Nov 2022
Do Pre-trained Models Benefit Equally in Continual Learning?
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee
Yuanyi Zhong
Yu-xiong Wang
CLL
24
27
0
27 Oct 2022
Multi-Domain Long-Tailed Learning by Augmenting Disentangled
  Representations
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations
Xinyu Yang
Huaxiu Yao
Allan Zhou
Chelsea Finn
39
3
0
25 Oct 2022
Respecting Transfer Gap in Knowledge Distillation
Respecting Transfer Gap in Knowledge Distillation
Yulei Niu
Long Chen
Chan Zhou
Hanwang Zhang
26
23
0
23 Oct 2022
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