Spatial Implicit Neural Representations for Global-Scale Species Mapping

5 June 2023

Papers citing "Spatial Implicit Neural Representations for Global-Scale Species Mapping"

8 / 8 papers shown

Title
The iNaturalist Sounds Dataset Mustafa Chasmai Alexander Shepard Subhransu Maji Grant Van Horn 44 2 0 31 May 2025
ZooplanktonBench: A Geo-Aware Zooplankton Recognition and Classification Dataset from Marine Observations Fukun Liu Adam T. Greer Gengchen Mai Jin Sun 47 0 0 24 May 2025
Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks Johannes Dollinger Damien Robert Elena Plekhanova Lukas Drees Jan Dirk Wegner AI4CE 120 0 0 07 Apr 2025
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings Aayush Dhakal Srikumar Sastry Subash Khanal Adeel Ahmad Eric Xing Nathan Jacobs 157 0 0 27 Feb 2025
Feedforward Few-shot Species Range Estimation Christian Lange Max Hamilton Elijah Cole Alexander Shepard Samuel Heinrich Angela Zhu Subhransu Maji Grant Van Horn Oisin Mac Aodha 150 0 0 20 Feb 2025
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning Nemin Wu Qian Cao Zhangyu Wang Zeping Liu Yanlin Qi ... Stefano Ermon T. Ganu A. Nambi Ni Lao Gengchen Mai 238 20 0 21 Jun 2024
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling Srikumar Sastry Xin Xing Aayush Dhakal Subash Khanal Adeel Ahmad Nathan Jacobs 93 6 0 13 Dec 2023
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.6K 14,698 0 07 Oct 2016