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Detection of out-of-distribution samples using binary neuron activation
  patterns
v1v2 (latest)

Detection of out-of-distribution samples using binary neuron activation patterns

Computer Vision and Pattern Recognition (CVPR), 2022
29 December 2022
Bartlomiej Olber
Krystian Radlak
A. Popowicz
Michal Szczepankiewicz
K. Chachula
    OODD
ArXiv (abs)PDFHTML

Papers citing "Detection of out-of-distribution samples using binary neuron activation patterns"

13 / 13 papers shown
LoRA-BAM: Input Filtering for Fine-tuned LLMs via Boxed Abstraction Monitors over LoRA Layers
LoRA-BAM: Input Filtering for Fine-tuned LLMs via Boxed Abstraction Monitors over LoRA Layers
Changshun Wu
Tianyi Duan
Saddek Bensalem
Chih-Hong Cheng
163
0
0
01 Jun 2025
AdaSCALE: Adaptive Scaling for OOD Detection
AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
OODD
519
0
0
11 Mar 2025
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Burak Ekim
G. Tadesse
Caleb Robinson
G. Q. Hacheme
Michael Schmitt
Rahul Dodhia
J. L. Ferres
OODD
505
6
0
18 Dec 2024
Image-based Outlier Synthesis With Training Data
Sudarshan Regmi
OODD
485
2
0
16 Nov 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action DetectionConference on Multimedia Information Processing and Retrieval (MIPR), 2024
Xiang Fang
Arvind Easwaran
B. Genest
389
7
0
16 Sep 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
473
2
0
31 Jul 2024
Monitizer: Automating Design and Evaluation of Neural Network Monitors
Monitizer: Automating Design and Evaluation of Neural Network MonitorsInternational Conference on Computer Aided Verification (CAV), 2024
Muqsit Azeem
Marta Grobelna
Sudeep Kanav
Jan Křetínský
Stefanie Mohr
Sabine Rieder
225
2
0
16 May 2024
Gradient-Regularized Out-of-Distribution Detection
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
321
11
0
18 Apr 2024
On the Detection of Anomalous or Out-Of-Distribution Data in Vision
  Models Using Statistical Techniques
On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques
Laura O'Mahony
David JP O'Sullivan
Nikola S. Nikolov
189
1
0
21 Mar 2024
Out-of-Distribution Detection using Neural Activation Prior
Out-of-Distribution Detection using Neural Activation Prior
Weilin Wan
Weizhong Zhang
Quan Zhou
Fan Yi
Cheng Jin
OODD
402
1
0
28 Feb 2024
Distilling the Unknown to Unveil Certainty
Distilling the Unknown to Unveil CertaintyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhilin Zhao
Longbing Cao
Yixuan Zhang
Kun-Li Channing Lin
Wei-Shi Zheng
214
0
0
14 Nov 2023
Runtime Monitoring DNN-Based Perception
Runtime Monitoring DNN-Based PerceptionRuntime Verification (RV), 2023
Chih-Hong Cheng
Michael Luttenberger
Rongjie Yan
191
4
0
06 Oct 2023
Detecting Out-of-distribution Objects Using Neuron Activation Patterns
Detecting Out-of-distribution Objects Using Neuron Activation PatternsEuropean Conference on Artificial Intelligence (ECAI), 2023
Bartlomiej Olber
Krystian Radlak
K. Chachula
Jakub Lyskawa
Piotr Fratczak
OODD
122
0
0
31 Jul 2023
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