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Far Away in the Deep Space: Dense Nearest-Neighbor-Based
  Out-of-Distribution Detection

Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection

12 November 2022
Silvio Galesso
Max Argus
Thomas Brox
    UQCV
ArXivPDFHTML

Papers citing "Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection"

12 / 12 papers shown
Title
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art
Youssef Shoeb
Azarm Nowzad
Hanno Gottschalk
UQCV
85
2
0
04 Mar 2025
Multi-Scale Foreground-Background Confidence for Out-of-Distribution
  Segmentation
Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation
Samuel Marschall
Kira Maag
80
1
0
22 Dec 2024
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
Nazir Nayal
Youssef Shoeb
Fatma Güney
OODD
35
4
0
10 Sep 2024
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond
Silvio Galesso
Philipp Schroppel
Hssan Driss
Thomas Brox
31
2
0
22 Jul 2024
PixOOD: Pixel-Level Out-of-Distribution Detection
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomávs Vojívr
Jan Sochman
Jivrí Matas
OODD
41
9
0
30 May 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous
  Driving
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving
Daniel Bogdoll
Iramm Hamdard
Lukas Namgyu Rößler
Felix Geisler
Muhammed Bayram
...
Miguel de Campos
Anushervon Tabarov
Yitian Yang
Hanno Gottschalk
J. Marius Zöllner
39
5
0
13 May 2024
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
37
0
0
18 Mar 2024
Learning to Generate Training Datasets for Robust Semantic Segmentation
Learning to Generate Training Datasets for Robust Semantic Segmentation
Marwane Hariat
Olivier Laurent
Rémi Kazmierczak
Shihao Zhang
Andrei Bursuc
Angela Yao
Gianni Franchi
UQCV
21
2
0
01 Aug 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
195
328
0
01 Oct 2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni
Gilles Puy
Huy V. Vo
Simon Roburin
Spyros Gidaris
Andrei Bursuc
P. Pérez
Renaud Marlet
Jean Ponce
ViT
180
196
0
29 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,775
0
29 Apr 2021
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,367
0
07 Oct 2016
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