ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.12437
  4. Cited By
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts
  using Deep Learning

DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning

24 November 2020
Dimitrios Tanoglidis
A. Ćiprijanović
A. Drlica-Wagner
ArXivPDFHTML

Papers citing "DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning"

6 / 6 papers shown
Title
Panoptic Segmentation of Galactic Structures in LSB Images
Panoptic Segmentation of Galactic Structures in LSB Images
Felix Richards
A. Paiement
Xianghua Xie
Elisabeth Sola
Pierre-Alain Duc
15
2
0
10 Jul 2024
At First Sight: Zero-Shot Classification of Astronomical Images with
  Large Multimodal Models
At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models
Dimitrios Tanoglidis
Bhuvnesh Jain
VLM
26
2
0
24 Jun 2024
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With
  Multiple Colour Spaces
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces
Yevonnael Andrew
19
1
0
26 Mar 2023
DeepAdversaries: Examining the Robustness of Deep Learning Models for
  Galaxy Morphology Classification
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification
A. Ćiprijanović
Diana Kafkes
Gregory F. Snyder
F. Sánchez
G. Perdue
K. Pedro
Brian D. Nord
Sandeep Madireddy
Stefan M. Wild
AAML
31
15
0
28 Dec 2021
Testing Self-Organized Criticality Across the Main Sequence using
  Stellar Flares from TESS
Testing Self-Organized Criticality Across the Main Sequence using Stellar Flares from TESS
A. D. Feinstein
D. Seligman
M. Günther
F. Adams
12
13
0
14 Sep 2021
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
9,136
0
06 Jun 2015
1