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Detecting Out-Of-Distribution Earth Observation Images with Diffusion
  Models

Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models

19 April 2024
Georges Le Bellier
Nicolas Audebert
ArXivPDFHTML

Papers citing "Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models"

23 / 23 papers shown
Title
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
162
1
0
18 Dec 2024
Quantum Machine Learning for Remote Sensing: Exploring potential and
  challenges
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges
Mikolaj Czerkawski
Lorenzo Papa
B. L. Saux
Irene Amerini
61
3
0
13 Nov 2023
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout
  Conditioning using Diffusion Models
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models
Ethan Brewer
Hamid Askarov
Imran Ibrahimli
Ismat Bakhishov
N. Nabiyev
DiffM
87
5
0
28 Sep 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using
  Pre-trained Diffusion Models
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
Ruiyuan Gao
Chenchen Zhao
Lanqing Hong
Q. Xu
67
18
0
15 Aug 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
105
4,074
1
10 Feb 2023
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
160
1,952
0
01 Jun 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
181
512
0
13 Apr 2022
Video Diffusion Models
Video Diffusion Models
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffM
VGen
163
1,597
0
07 Apr 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
262
823
0
27 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
357
15,373
0
20 Dec 2021
SegDiff: Image Segmentation with Diffusion Probabilistic Models
SegDiff: Image Segmentation with Diffusion Probabilistic Models
Tomer Amit
Tal Shaharbany
Eliya Nachmani
Lior Wolf
DiffM
78
302
0
01 Dec 2021
Structured Denoising Diffusion Models in Discrete State-Spaces
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin
Daniel D. Johnson
Jonathan Ho
Daniel Tarlow
Rianne van den Berg
DiffM
124
924
0
07 Jul 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
181
7,765
0
11 May 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
294
6,409
0
26 Nov 2020
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
259
1,349
0
08 Oct 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffM
BDL
110
1,449
0
21 Sep 2020
Posterior Network: Uncertainty Estimation without OOD Samples via
  Density-Based Pseudo-Counts
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
Bertrand Charpentier
Daniel Zügner
Stephan Günnemann
UQCV
UD
EDL
BDL
65
180
0
16 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
213
3,870
0
12 Jul 2019
To Trust Or Not To Trust A Classifier
To Trust Or Not To Trust A Classifier
Heinrich Jiang
Been Kim
Melody Y. Guan
Maya R. Gupta
UQCV
162
471
0
30 May 2018
Predictive Uncertainty Estimation via Prior Networks
Predictive Uncertainty Estimation via Prior Networks
A. Malinin
Mark Gales
UD
BDL
EDL
UQCV
PER
183
914
0
28 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
213
8,455
0
17 Jun 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
258
6,887
0
12 Mar 2015
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