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Class-Balanced Loss Based on Effective Number of Samples

Class-Balanced Loss Based on Effective Number of Samples

16 January 2019
Huayu Chen
Menglin Jia
Nayeon Lee
Yang Song
Serge J. Belongie
ArXiv (abs)PDFHTML

Papers citing "Class-Balanced Loss Based on Effective Number of Samples"

50 / 1,024 papers shown
Title
The Majority Can Help The Minority: Context-rich Minority Oversampling
  for Long-tailed Classification
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
Seulki Park
Youngkyu Hong
Byeongho Heo
Sangdoo Yun
J. Choi
140
157
0
01 Dec 2021
Learning from Mistakes based on Class Weighting with Application to
  Neural Architecture Search
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search
Jay P. Gala
P. Xie
120
1
0
01 Dec 2021
A Simple Long-Tailed Recognition Baseline via Vision-Language Model
A Simple Long-Tailed Recognition Baseline via Vision-Language Model
Teli Ma
Shijie Geng
Mengmeng Wang
Jing Shao
Jiasen Lu
Hongsheng Li
Peng Gao
Yu Qiao
VLM
128
47
0
29 Nov 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Tianhong Li
Peng Cao
Yuan. Yuan
Lijie Fan
Yuzhe Yang
Rogerio Feris
Piotr Indyk
Dina Katabi
117
184
0
27 Nov 2021
VL-LTR: Learning Class-wise Visual-Linguistic Representation for
  Long-Tailed Visual Recognition
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
Changyao Tian
Wenhai Wang
Xizhou Zhu
Jifeng Dai
Yu Qiao
VLM
115
73
0
26 Nov 2021
Combating Unknown Bias with Effective Bias-Conflicting Scoring and
  Gradient Alignment
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
66
9
0
25 Nov 2021
Handling Inter-class and Intra-class Imbalance in Class-imbalanced
  Learning
Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning
Zhining Liu
Pengfei Wei
Zhepei Wei
Boyang Yu
Jing Jiang
Wei Cao
Jiang Bian
Yi Chang
76
7
0
24 Nov 2021
Improved Fine-Tuning by Better Leveraging Pre-Training Data
Improved Fine-Tuning by Better Leveraging Pre-Training Data
Ziquan Liu
Yi Tian Xu
Yuanhong Xu
Qi Qian
Hao Li
Xiangyang Ji
Antoni B. Chan
Rong Jin
65
42
0
24 Nov 2021
DIVA: Dataset Derivative of a Learning Task
DIVA: Dataset Derivative of a Learning Task
Yonatan Dukler
Alessandro Achille
Giovanni Paolini
Avinash Ravichandran
M. Polito
Stefano Soatto
40
5
0
18 Nov 2021
Trustworthy Long-Tailed Classification
Trustworthy Long-Tailed Classification
Bolian Li
Zongbo Han
Haining Li
Huazhu Fu
Changqing Zhang
EDL
66
73
0
17 Nov 2021
Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases
  Recognition
Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases Recognition
Lie Ju
Zhen Yu
Lin Wang
Xin Zhao
Xin Wang
Paul Bonnington
Z. Ge
61
15
0
17 Nov 2021
Multi-Task Classification of Sewer Pipe Defects and Properties using a
  Cross-Task Graph Neural Network Decoder
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
Joakim Bruslund Haurum
Meysam Madadi
Sergio Escalera
T. Moeslund
AI4CE
117
8
0
15 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge Belongie
139
296
0
11 Nov 2021
Feature Generation for Long-tail Classification
Feature Generation for Long-tail Classification
Rahul Vigneswaran
M. Law
V. Balasubramanian
Makarand Tapaswi
VLM
74
16
0
10 Nov 2021
Label-Aware Distribution Calibration for Long-tailed Classification
Label-Aware Distribution Calibration for Long-tailed Classification
Chaozheng Wang
Shuzheng Gao
Cuiyun Gao
Pengyun Wang
Wenjie Pei
Lujia Pan
Zenglin Xu
82
20
0
09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior
  Perspective
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Zhengzhuo Xu
Zenghao Chai
Chun Yuan
121
53
0
06 Nov 2021
FBNet: Feature Balance Network for Urban-Scene Segmentation
FBNet: Feature Balance Network for Urban-Scene Segmentation
Lei Gan
Huabin Huang
Banghuai Li
Ye Yuan
29
1
0
05 Nov 2021
Convolutional Motif Kernel Networks
Convolutional Motif Kernel Networks
Jonas C. Ditz
Bernhard Reuter
N. Pfeifer
FAtt
89
2
0
03 Nov 2021
Generalized Data Weighting via Class-level Gradient Manipulation
Generalized Data Weighting via Class-level Gradient Manipulation
Can Chen
Shuhao Zheng
Xi Chen
Erqun Dong
Xue Liu
Hao Liu
Dejing Dou
95
24
0
29 Oct 2021
Encoder-Decoder Networks for Analyzing Thermal and Power Delivery
  Networks
Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks
V. A. Chhabria
V. Ahuja
Ashwath Prabhu
Nikhil Patil
Palkesh Jain
S. Sapatnekar
32
2
0
27 Oct 2021
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual
  Language Reasoning
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
Pan Lu
Liang Qiu
Jiaqi Chen
Tony Xia
Yizhou Zhao
Wei Zhang
Zhou Yu
Xiaodan Liang
Song-Chun Zhu
AIMat
180
206
0
25 Oct 2021
Prototypical Classifier for Robust Class-Imbalanced Learning
Prototypical Classifier for Robust Class-Imbalanced Learning
Tong Wei
Jiang-Xin Shi
Yu-Feng Li
Min-Ling Zhang
NoLa
41
16
0
22 Oct 2021
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To
  Reduce Model Bias
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias
Sharat Agarwal
Sumanyu Muku
Saket Anand
Chetan Arora
47
13
0
20 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised
  Learning
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee
Seungjae Shin
Heeyoung Kim
CLL
86
95
0
20 Oct 2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models
When in Doubt, Summon the Titans: Efficient Inference with Large Models
A. S. Rawat
Manzil Zaheer
A. Menon
Amr Ahmed
Sanjiv Kumar
64
7
0
19 Oct 2021
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
Guosheng Lin
VLM
108
14
0
19 Oct 2021
Tackling the Imbalance for GNNs
Tackling the Imbalance for GNNs
Rui Wang
Weixuan Xiong
Qing-Hu Hou
Ou Wu
134
6
0
17 Oct 2021
Metadata Shaping: Natural Language Annotations for the Tail
Metadata Shaping: Natural Language Annotations for the Tail
Simran Arora
Sen Wu
Enci Liu
Christopher Ré
83
0
0
16 Oct 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu
Fangyun Wei
Han Hu
Qiwei Ye
J. Cui
Liwei Wang
91
163
0
11 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu
Jeff Z. HaoChen
Adrien Gaidon
Tengyu Ma
OODSSL
92
167
0
11 Oct 2021
Which Samples Should be Learned First: Easy or Hard?
Which Samples Should be Learned First: Easy or Hard?
Xiaoling Zhou
Ou Wu
71
17
0
11 Oct 2021
Label-Occurrence-Balanced Mixup for Long-tailed Recognition
Label-Occurrence-Balanced Mixup for Long-tailed Recognition
Shaoyu Zhang
Chen Chen
Xiujuan Zhang
Silong Peng
112
7
0
11 Oct 2021
Performance Evaluation of Deep Transfer Learning on Multiclass
  Identification of Common Weed Species in Cotton Production Systems
Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems
Dong Chen
Yuzhen Lu
Zhao Li
Sierra N. Young
103
105
0
11 Oct 2021
BuildingNet: Learning to Label 3D Buildings
BuildingNet: Learning to Label 3D Buildings
Pratheba Selvaraju
Mohamed Nabail
Marios Loizou
Maria I. Maslioukova
Melinos Averkiou
Andreas C. Andreou
S. Chaudhuri
E. Kalogerakis
3DV3DPCAI4CE
80
40
0
11 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A Survey
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
140
597
0
09 Oct 2021
Class-Balanced Active Learning for Image Classification
Class-Balanced Active Learning for Image Classification
Javad Zolfaghari Bengar
Joost van de Weijer
Laura Lopez-Fuentes
Bogdan Raducanu
60
24
0
09 Oct 2021
Collaging Class-specific GANs for Semantic Image Synthesis
Collaging Class-specific GANs for Semantic Image Synthesis
Yuheng Li
Yijun Li
Jingwan Lu
Eli Shechtman
Yong Jae Lee
Krishna Kumar Singh
84
32
0
08 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification
Topology-Imbalance Learning for Semi-Supervised Node Classification
Deli Chen
Yankai Lin
Guangxiang Zhao
Xuancheng Ren
Peng Li
Jie Zhou
Xu Sun
91
91
0
08 Oct 2021
Long-tailed Distribution Adaptation
Long-tailed Distribution Adaptation
Zhiliang Peng
Wei Huang
Zonghao Guo
Xiaosong Zhang
Jianbin Jiao
QiXiang Ye
71
10
0
06 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification
Influence-Balanced Loss for Imbalanced Visual Classification
Seulki Park
Jongin Lim
Younghan Jeon
J. Choi
CVBM
145
136
0
06 Oct 2021
Learning to Predict Trustworthiness with Steep Slope Loss
Learning to Predict Trustworthiness with Steep Slope Loss
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
72
13
0
30 Sep 2021
Grounding Predicates through Actions
Grounding Predicates through Actions
Toki Migimatsu
Jeannette Bohg
208
35
0
29 Sep 2021
A Multi-stage Transfer Learning Framework for Diabetic Retinopathy
  Grading on Small Data
A Multi-stage Transfer Learning Framework for Diabetic Retinopathy Grading on Small Data
Lei Shi
Bin Wang
Junxing Zhang
60
0
0
24 Sep 2021
Fairness-aware Class Imbalanced Learning
Fairness-aware Class Imbalanced Learning
Shivashankar Subramanian
Afshin Rahimi
Timothy Baldwin
Trevor Cohn
Lea Frermann
FaML
154
29
0
21 Sep 2021
Balanced-MixUp for Highly Imbalanced Medical Image Classification
Balanced-MixUp for Highly Imbalanced Medical Image Classification
Adrian Galdran
G. Carneiro
M. A. G. Ballester
84
101
0
20 Sep 2021
The Unreasonable Effectiveness of the Final Batch Normalization Layer
The Unreasonable Effectiveness of the Final Batch Normalization Layer
Veysel Kocaman
O. M. Shir
T. Baeck
135
1
0
18 Sep 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets
Self-Supervised Neural Architecture Search for Imbalanced Datasets
A. Timofeev
Grigorios G. Chrysos
Volkan Cevher
OOD
67
5
0
17 Sep 2021
Balancing out Bias: Achieving Fairness Through Balanced Training
Balancing out Bias: Achieving Fairness Through Balanced Training
Xudong Han
Timothy Baldwin
Trevor Cohn
69
42
0
16 Sep 2021
Overview of Tencent Multi-modal Ads Video Understanding Challenge
Overview of Tencent Multi-modal Ads Video Understanding Challenge
Zhenzhi Wang
Liyu Wu
Zhimin Li
Jiangfeng Xiong
Qinglin Lu
58
4
0
16 Sep 2021
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased
  Data
Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data
Wentai Wu
Ligang He
Weiwei Lin
32
0
0
14 Sep 2021
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