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Out-of-Distribution Detection by Leveraging Between-Layer Transformation
  Smoothness

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness

4 October 2023
Fran Jelenić
Josip Jukić
Martin Tutek
Mate Puljiz
Jan vSnajder
    OODD
ArXivPDFHTML

Papers citing "Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness"

12 / 12 papers shown
Title
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution
  Detection in Gastrointestinal Vision
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Sandesh Pokhrel
Sanjay Bhandari
Sharib Ali
Tryphon Lambrou
Anh Nguyen
Yash Raj Shrestha
Angus Watson
Danail Stoyanov
P. Gyawali
Binod Bhattarai
75
1
0
02 Dec 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
68
3
0
18 Sep 2024
Out-of-Distribution Detection through Soft Clustering with Non-Negative
  Kernel Regression
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
Aryan Gulati
Xingjian Dong
Carlos Hurtado
Sarath Shekkizhar
Swabha Swayamdipta
Antonio Ortega
OODD
23
2
0
18 Jul 2024
Looking for Tiny Defects via Forward-Backward Feature Transfer
Looking for Tiny Defects via Forward-Backward Feature Transfer
Alex Costanzino
Pierluigi Zama Ramirez
Giuseppe Lisanti
Luigi Di Stefano
42
0
0
04 Jul 2024
HAct: Out-of-Distribution Detection with Neural Net Activation
  Histograms
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms
Sudeepta Mondal
G. Sundaramoorthi
OODD
13
0
0
09 Sep 2023
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
172
151
0
20 Sep 2022
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
188
879
0
21 Oct 2021
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
195
328
0
01 Oct 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain
  Detection
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection
Alexander Podolskiy
Dmitry Lipin
A. Bout
Ekaterina Artemova
Irina Piontkovskaya
OODD
95
82
0
11 Jan 2021
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
210
107
0
26 Aug 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
276
5,675
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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