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EAT: Towards Long-Tailed Out-of-Distribution Detection

EAT: Towards Long-Tailed Out-of-Distribution Detection

AAAI Conference on Artificial Intelligence (AAAI), 2023
14 December 2023
Tong Wei
Bo-Lin Wang
Min-Ling Zhang
    OODD
ArXiv (abs)PDFHTMLGithub (14★)

Papers citing "EAT: Towards Long-Tailed Out-of-Distribution Detection"

10 / 10 papers shown
Title
Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Nimeshika Udayangani
H. M. Dolatabadi
S. Erfani
C. Leckie
OODD
374
0
0
20 Nov 2025
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Shuai Feng
Yuxin Ge
Yuntao Du
Mingcai Chen
Chongjun Wang
Lei Feng
OODD
423
0
0
21 Sep 2025
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
Xiaolei Wei
Yi Ouyang
Haibo Ye
MoMe
130
0
0
27 Aug 2025
Long-Tailed Out-of-Distribution Detection via Normalized Outlier
  Distribution Adaptation
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution AdaptationNeural Information Processing Systems (NeurIPS), 2024
Wenjun Miao
Guansong Pang
Jin Zheng
Xiao Bai
OODD
330
4
0
28 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised
  Outliers Exposure
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure
Wei Wei
Sin Chee Chin
Tingxuan Gao
Wenming Yang
343
0
0
14 Oct 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Shuo Lu
YingSheng Wang
Lijun Sheng
Lingxiao He
A. Zheng
Jian Liang
OODD
518
7
0
18 Sep 2024
Representation Norm Amplification for Out-of-Distribution Detection in
  Long-Tail Learning
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
340
3
0
20 Aug 2024
A Systematic Review on Long-Tailed Learning
A Systematic Review on Long-Tailed LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
353
24
0
01 Aug 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Kai-Chun Liu
Zhihang Fu
Sheng Jin
Chao Chen
Ze Chen
Rongxin Jiang
Fan Zhou
Yao-Shen Chen
Jieping Ye
OODD
185
2
0
23 Jul 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
365
14
0
22 May 2024
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