SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data

2 November 2023

Papers citing "SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data"

4 / 4 papers shown

Title
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery Andy V. Huynh Lauren E. Gillespie Jael Lopez-Saucedo Claire Tang Rohan Sikand Moisés Expósito-Alonso SSL 52 5 0 28 Sep 2024
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling Srikumar Sastry Xin Xing Aayush Dhakal Subash Khanal Adeel Ahmad Nathan Jacobs 42 5 0 13 Dec 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 121 172 0 30 Dec 2022
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery Esther Rolf J. Proctor T. Carleton I. Bolliger Vaishaal Shankar Miyabi Ishihara Benjamin Recht S. Hsiang 95 122 0 16 Oct 2020