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Keep it Simple: Image Statistics Matching for Domain Adaptation

Keep it Simple: Image Statistics Matching for Domain Adaptation

26 May 2020
A. Abramov
Christopher Bayer
Claudio Heller
    OOD
ArXivPDFHTML

Papers citing "Keep it Simple: Image Statistics Matching for Domain Adaptation"

7 / 7 papers shown
Title
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Yue Song
N. Sebe
Wei Wang
33
6
0
11 Dec 2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Yue Song
N. Sebe
Wei Wang
19
8
0
05 Jul 2022
Fast Differentiable Matrix Square Root and Inverse Square Root
Fast Differentiable Matrix Square Root and Inverse Square Root
Yue Song
N. Sebe
Wei Wang
27
15
0
29 Jan 2022
Fast Differentiable Matrix Square Root
Fast Differentiable Matrix Square Root
Yue Song
N. Sebe
Wei Wang
11
14
0
21 Jan 2022
Unsupervised Domain Adaptation of Object Detectors: A Survey
Unsupervised Domain Adaptation of Object Detectors: A Survey
Poojan Oza
Vishwanath A. Sindagi
Vibashan Vs
Vishal M. Patel
OOD
ObjD
39
170
0
27 May 2021
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain
  Adaptive Object Detection
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
VS Vibashan
Vikram Gupta
Poojan Oza
Vishwanath A. Sindagi
Vishal M. Patel
28
182
0
07 Mar 2021
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and
  Sparse Sensor Data
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
A. L. Rodríguez
Benjamin Busam
K. Mikolajczyk
37
44
0
03 Aug 2020
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