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Effective Fine-Tuning of Vision-Language Models for Accurate Galaxy
  Morphology Analysis

Effective Fine-Tuning of Vision-Language Models for Accurate Galaxy Morphology Analysis

29 November 2024
Ruoqi Wang
Haitao Wang
Qiong Luo
ArXiv (abs)PDFHTML

Papers citing "Effective Fine-Tuning of Vision-Language Models for Accurate Galaxy Morphology Analysis"

12 / 12 papers shown
Title
GeoCLIP: Clip-Inspired Alignment between Locations and Images for
  Effective Worldwide Geo-localization
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
V. Cepeda
Gaurav Kumar Nayak
Mubarak Shah
69
102
0
27 Sep 2023
A Text-guided Protein Design Framework
A Text-guided Protein Design Framework
Shengchao Liu
Yanjing Li
Zhuoxinran Li
A. Gitter
Yutao Zhu
...
Arvind Ramanathan
Chaowei Xiao
Jian Tang
Hongyu Guo
Anima Anandkumar
128
70
0
09 Feb 2023
A New Task: Deriving Semantic Class Targets for the Physical Sciences
A New Task: Deriving Semantic Class Targets for the Physical Sciences
Micah Bowles
Hongming Tang
E. Vardoulaki
Emma L. Alexander
Yan Luo
...
Mike Walmsley
Fiona A. M. Porter
A. Scaife
I. V. Slijepcevic
Gary Segal
27
2
0
26 Oct 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
119
324
0
14 Apr 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
480
7,837
0
11 Nov 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.0K
29,926
0
26 Feb 2021
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from
  Volunteers and Deep Learning for 314,000 Galaxies
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
Mike Walmsley
Chris J. Lintott
Tobias Geron
Sandor Kruk
Coleman M Krawczyk
...
B. Simmons
R. Smethurst
Lewis Smith
E. Baeten
C. Macmillan
MDE
131
85
0
16 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
684
41,563
0
22 Oct 2020
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active
  Learning
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning
Mike Walmsley
Lewis Smith
Chris J. Lintott
Y. Gal
S. Bamford
...
K. Masters
C. Scarlata
B. Simmons
R. Smethurst
D. Wright
72
88
0
17 May 2019
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Rotation-invariant convolutional neural networks for galaxy morphology
  prediction
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman
K. Willett
J. Dambre
108
653
0
24 Mar 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,637
0
01 Sep 2014
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