Scale-Aware Recognition in Satellite Images under Resource Constraints

31 October 2024

Papers citing "Scale-Aware Recognition in Satellite Images under Resource Constraints"

23 / 23 papers shown

Title
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment Utkarsh Mall Cheng Perng Phoo Meilin Kelsey Liu Carl Vondrick B. Hariharan Kavita Bala VLM 35 41 0 12 Dec 2023
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing Fan Liu Delong Chen Zhan-Rong Guan Xiaocong Zhou Jiale Zhu Qiaolin Ye Liyong Fu Jun Zhou VLM 88 213 0 19 Jun 2023
Distilling from Similar Tasks for Transfer Learning on a Budget Kenneth Borup Cheng Perng Phoo Bharath Hariharan 63 2 0 24 Apr 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado Reed Ritwik Gupta Shufan Li S. Brockman Christopher Funk Brian Clipp Kurt Keutzer Salvatore Candido M. Uyttendaele Trevor Darrell 148 179 0 30 Dec 2022
Reproducible scaling laws for contrastive language-image learning Mehdi Cherti Romain Beaumont Ross Wightman Mitchell Wortsman Gabriel Ilharco Cade Gordon Christoph Schuhmann Ludwig Schmidt J. Jitsev VLM CLIP 103 776 0 14 Dec 2022
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding Favyen Bastani Piper Wolters Ritwik Gupta Joe Ferdinando Aniruddha Kembhavi 52 104 0 28 Nov 2022
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery Yezhen Cong Samarth Khanna Chenlin Meng Patrick Liu Erik Rozi Yutong He Marshall Burke David B. Lobell Stefano Ermon ViT 53 264 0 17 Jul 2022
IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling Chenlin Meng Enci Liu Willie Neiswanger Jiaming Song Marshall Burke David B. Lobell Stefano Ermon 30 20 0 16 Dec 2021
A survey of active learning algorithms for supervised remote sensing image classification D. Tuia Michele Volpi Loris Copa M. Kanevski Jordi Munoz-Marí 23 525 0 15 Apr 2021
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 CLIP VLM 681 28,659 0 26 Feb 2021
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation Kenneth Borup L. Andersen 40 14 0 25 Feb 2021
Learning with Privileged Information for Efficient Image Super-Resolution Wonkyung Lee Junghyup Lee Dohyung Kim Bumsub Ham 50 135 0 15 Jul 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 243 1,045 0 06 Mar 2020
Learning When and Where to Zoom with Deep Reinforcement Learning Burak Uzkent Stefano Ermon 54 68 0 01 Mar 2020
Learning by Cheating Dian Chen Brady Zhou V. Koltun Philipp Krahenbuhl SSL 76 511 0 27 Dec 2019
On the Efficacy of Knowledge Distillation Ligang He Rui Mao 77 603 0 03 Oct 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 70 762 0 09 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 121 17,950 0 28 May 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 63 658 0 09 May 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 54 1,396 0 10 Apr 2019
The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery Jacob Shermeyer A. V. Etten ObjD 46 218 0 10 Dec 2018
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 241 19,523 0 09 Mar 2015
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 76 901 0 24 Dec 2011