Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery

28 September 2024

Papers citing "Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery"

3 / 3 papers shown

Title
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings A. Dhakal S. Sastry Subash Khanal Adeel Ahmad Eric Xing Nathan Jacobs 48 0 0 27 Feb 2025
TaxaBind: A Unified Embedding Space for Ecological Applications S. Sastry Subash Khanal A. Dhakal Adeel Ahmad Nathan Jacobs 55 6 0 01 Nov 2024
DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets Elena Sierra Lauren E. Gillespie Salim Soltani Moisés Expósito-Alonso Teja Kattenborn 19 0 0 17 Oct 2024