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Balanced Product of Calibrated Experts for Long-Tailed Recognition

Balanced Product of Calibrated Experts for Long-Tailed Recognition

10 June 2022
Emanuel Sanchez Aimar
Arvi Jonnarth
M. Felsberg
Marco Kuhlmann
ArXivPDFHTML

Papers citing "Balanced Product of Calibrated Experts for Long-Tailed Recognition"

19 / 19 papers shown
Title
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Sicong Li
Qianqian Xu
Zhiyong Yang
Zitai Wang
L. Zhang
Xiaochun Cao
Q. Huang
56
0
0
03 May 2025
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks
Lotfi Abdelkrim Mecharbat
Alberto Marchisio
Muhammad Shafique
M. Ghassemi
Tuka Alhanai
82
0
0
11 Feb 2025
Fractal Calibration for long-tailed object detection
Fractal Calibration for long-tailed object detection
Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
82
0
0
15 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance
  and Adaptability on Imbalanced Classification
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification
Kelsey Lieberman
Swarna Kamlam Ravindran
Shuai Yuan
Carlo Tomasi
OOD
33
0
0
04 Oct 2024
A Systematic Review on Long-Tailed Learning
A Systematic Review on Long-Tailed Learning
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
25
6
0
01 Aug 2024
LTRL: Boosting Long-tail Recognition via Reflective Learning
LTRL: Boosting Long-tail Recognition via Reflective Learning
QiHao Zhao
Yalun Dai
Shen Lin
Wei Hu
Fan Zhang
Jun Liu
43
1
0
17 Jul 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
26
7
0
13 May 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
32
15
0
09 Mar 2024
Clean Label Disentangling for Medical Image Segmentation with Noisy
  Labels
Clean Label Disentangling for Medical Image Segmentation with Noisy Labels
Zicheng Wang
Zhen Zhao
Erjian Guo
Luping Zhou
19
1
0
28 Nov 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised
  Learning with Proper Calibration
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
M. Felsberg
26
0
0
07 Jun 2023
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
Arvi Jonnarth
Yushan Zhang
M. Felsberg
17
0
0
05 Apr 2023
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
51
52
0
06 Nov 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
159
549
0
21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
239
456
0
11 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
243
782
0
05 Dec 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
268
10,214
0
16 Nov 2016
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,214
0
09 Jun 2011
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