Transfer Learning with Pretrained Remote Sensing Transformers

28 September 2022

Papers citing "Transfer Learning with Pretrained Remote Sensing Transformers"

9 / 9 papers shown

Title
Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection Romain Thoreau Valerio Marsocci Dawa Derksen AI4CE 69 2 0 12 Mar 2025
Debiased Learning for Remote Sensing Data Chun-Hsiao Yeh Xudong Wang Stella X. Yu Charles Hill Zackery Steck Scott Kangas Aaron A. Reite 15 0 0 24 Dec 2023
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing Zhecheng Wang R. Prabha Tianyuan Huang Jiajun Wu Ram Rajagopal 22 53 0 20 Dec 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders A. Fuller K. Millard James R. Green 15 60 0 01 Nov 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters Isaac Corley Caleb Robinson Rahul Dodhia J. L. Ferres Peyman Najafirad 39 14 0 22 May 2023
Revisiting Neural Scaling Laws in Language and Vision Ibrahim M. Alabdulmohsin Behnam Neyshabur Xiaohua Zhai 151 102 0 13 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020
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 VLM ObjD 282 39,170 0 01 Sep 2014