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Invariant Feature Learning for Generalized Long-Tailed Classification

Invariant Feature Learning for Generalized Long-Tailed Classification

19 July 2022
Kaihua Tang
Mingyuan Tao
Jiaxin Qi
Zhenguang Liu
Hanwang Zhang
    VLM
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Papers citing "Invariant Feature Learning for Generalized Long-Tailed Classification"

13 / 13 papers shown
Title
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
37
0
0
15 Oct 2024
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge
Yuting Zhang
Haobo Lu
Xin Liu
Ying Chen
Kaishun Wu
27
4
0
11 Mar 2024
Federated Model Aggregation via Self-Supervised Priors for Highly
  Imbalanced Medical Image Classification
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
Marawan Elbatel
Hualiang Wang
Robert Martí
H. Fu
X. Li
FedML
27
8
0
27 Jul 2023
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for
  Long-Tailed Medical Image Recognition
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition
Marawan Elbatel
Robert Martí
X. Li
AAML
25
10
0
27 May 2023
Inverse Image Frequency for Long-tailed Image Recognition
Inverse Image Frequency for Long-tailed Image Recognition
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
S. Zafeiriou
30
9
0
11 Sep 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of
  Individual Nuisances in Natural Images
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao
Shaozuo Yu
Wufei Ma
M. Yu
Shenxiao Mei
Angtian Wang
Ju He
Alan Yuille
Adam Kortylewski
14
53
0
29 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 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
157
541
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
237
455
0
11 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
888
0
02 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
240
765
0
05 Dec 2019
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
261
10,106
0
16 Nov 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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