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Hyperdimensional Feature Fusion for Out-Of-Distribution Detection
v1v2v3 (latest)

Hyperdimensional Feature Fusion for Out-Of-Distribution Detection

10 December 2021
Samuel Wilson
Tobias Fischer
Niko Sünderhauf
Feras Dayoub
    OODD
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Title
Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception
Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception
Spyridon Loukovitis
Anastasios Arsenos
Vasileios Karampinis
Athanasios Voulodimos
52
1
0
11 Sep 2025
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles PerceptionComputer Vision and Pattern Recognition (CVPR), 2025
Luke Chen
Junyao Wang
Trier Mortlock
Pramod P. Khargonekar
M. A. Al Faruque
UQCV
366
1
0
25 Mar 2025
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
285
2
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
190
2
0
20 Feb 2024
DOMINO: Domain-invariant Hyperdimensional Classification for
  Multi-Sensor Time Series Data
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data
Junyao Wang
Luke Chen
Mohammad Abdullah Al Faruque
135
8
0
07 Aug 2023
Efficient Model Adaptation for Continual Learning at the Edge
Efficient Model Adaptation for Continual Learning at the Edge
Z. Daniels
Jun Hu
M. Lomnitz
P.E.T.E.R.G. Miller
Aswin Raghavan
Joe Zhang
M. Piacentino
David C. Zhang
OOD
202
4
0
03 Aug 2023
Non-Exemplar Online Class-incremental Continual Learning via
  Dual-prototype Self-augment and Refinement
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and RefinementAAAI Conference on Artificial Intelligence (AAAI), 2023
Fushuo Huo
Wenchao Xu
Jingcai Guo
Yining Qi
Yunfeng Fan
Song Guo
CLL
307
22
0
20 Mar 2023
Image Labels Are All You Need for Coarse Seagrass Segmentation
Image Labels Are All You Need for Coarse Seagrass SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Scarlett Raine
Ross Marchant
Branislav Kusy
Frederic Maire
Tobias Fischer
349
10
0
02 Mar 2023
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object
  Detection
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object DetectionIEEE International Conference on Computer Vision (ICCV), 2022
Samuel Wilson
Tobias Fischer
Feras Dayoub
Dimity Miller
Niko Sünderhauf
OODD
384
41
0
29 Aug 2022
Learning with Local Gradients at the Edge
Learning with Local Gradients at the EdgeIEEE International Conference on Systems, Man and Cybernetics (SMC), 2022
M. Lomnitz
Z. Daniels
David C. Zhang
M. Piacentino
175
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 ChallengesACM Computing Surveys (CSUR), 2021
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
393
160
0
12 Nov 2021
Vector Symbolic Architectures as a Computing Framework for Emerging
  Hardware
Vector Symbolic Architectures as a Computing Framework for Emerging HardwareProceedings of the IEEE (Proc. IEEE), 2021
Denis Kleyko
Mike Davies
E. P. Frady
P. Kanerva
Spencer J. Kent
...
Evgeny Osipov
J. Rabaey
D. Rachkovskij
Abbas Rahimi
Friedrich T. Sommer
210
75
0
09 Jun 2021
1