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Hyperdimensional Feature Fusion for Out-Of-Distribution Detection

Hyperdimensional Feature Fusion for Out-Of-Distribution Detection

10 December 2021
Samuel Wilson
Tobias Fischer
Niko Sünderhauf
Feras Dayoub
    OODD
ArXivPDFHTML

Papers citing "Hyperdimensional Feature Fusion for Out-Of-Distribution Detection"

9 / 9 papers shown
Title
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Junkun Chen
Jilin Mei
Liang Chen
Fangzhou Zhao
Yu Hu
Yu Hu
ObjD
45
0
0
09 Sep 2024
SMORE: Similarity-based Hyperdimensional Domain Adaptation for
  Multi-Sensor Time Series Classification
SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification
Junyao Wang
Mohammad Abdullah Al Faruque
AI4TS
45
1
0
20 Feb 2024
Image Labels Are All You Need for Coarse Seagrass Segmentation
Image Labels Are All You Need for Coarse Seagrass Segmentation
Scarlett Raine
Ross Marchant
Branislav Kusy
Frederic Maire
Tobias Fischer
30
5
0
02 Mar 2023
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object
  Detection
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
Samuel Wilson
Tobias Fischer
Feras Dayoub
Dimity Miller
Niko Sünderhauf
OODD
31
29
0
29 Aug 2022
Learning with Local Gradients at the Edge
Learning with Local Gradients at the Edge
M. Lomnitz
Z. Daniels
David C. Zhang
M. Piacentino
31
1
0
17 Aug 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part II: Applications, Cognitive Models, and Challenges
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
24
126
0
12 Nov 2021
Vector Symbolic Architectures as a Computing Framework for Emerging
  Hardware
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
Denis Kleyko
Mike Davies
E. P. Frady
P. Kanerva
Spencer J. Kent
...
Evgeny Osipov
J. Rabaey
D. Rachkovskij
Abbas Rahimi
Friedrich T. Sommer
37
57
0
09 Jun 2021
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
1