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Boosting Out-of-Distribution Detection with Multiple Pre-trained Models

Boosting Out-of-Distribution Detection with Multiple Pre-trained Models

24 December 2022
Feng Xue
Zi He
Chuanlong Xie
Falong Tan
Zhenguo Li
    OODD
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Papers citing "Boosting Out-of-Distribution Detection with Multiple Pre-trained Models"

10 / 10 papers shown
Title
DSDE: Using Proportion Estimation to Improve Model Selection for
  Out-of-Distribution Detection
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
Jingyao Geng
Yuan Zhang
Jiaqi Huang
Feng Xue
Falong Tan
Chuanlong Xie
Shumei Zhang
OODD
36
0
0
03 Nov 2024
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Chenhui Xu
Fuxun Yu
Zirui Xu
Nathan Inkawhich
Xiang Chen
OODD
22
5
0
24 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based
  Layer-wise Feature Fusion
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
Jiawei Li
Sitong Li
Shanshan Wang
Yicheng Zeng
Falong Tan
Chuanlong Xie
OODD
30
1
0
16 Mar 2024
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss
  Landscape Perspective
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
Kun Fang
Qinghua Tao
Xiaolin Huang
Jie-jin Yang
OODD
40
2
0
22 Oct 2023
Multi Self-supervised Pre-fine-tuned Transformer Fusion for Better
  Intelligent Transportation Detection
Multi Self-supervised Pre-fine-tuned Transformer Fusion for Better Intelligent Transportation Detection
Juwu Zheng
Jiangtao Ren
ViT
14
0
0
17 Oct 2023
Mitigating Transformer Overconfidence via Lipschitz Regularization
Mitigating Transformer Overconfidence via Lipschitz Regularization
Wenqian Ye
Yunsheng Ma
Xu Cao
Kun Tang
18
13
0
12 Jun 2023
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
175
328
0
01 Oct 2021
Real-time Out-of-distribution Detection in Learning-Enabled
  Cyber-Physical Systems
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
Feiyang Cai
X. Koutsoukos
OODD
116
73
0
28 Jan 2020
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
270
5,660
0
05 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 2016
1