activity
20242026
most citedAlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

27 citations · 30 across the 19 of their papers we have counts for

collaborators
Showing 2025Show all

9 papers · 1 filter

cs.CV2025★ 1 cited

OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation

Henry Herzog, Favyen Bastani, Yawen Zhang +23

Earth observation data presents a unique challenge: it is spatial like images, sequential like video or text, and highly multimodal. We present OlmoEarth: a multimodal, spatio-temp…

cs.LG2025

GeoCrossBench: Cross-Band Generalization for Remote Sensing

Hakob Tamazyan, Ani Vanyan, Alvard Barseghyan +3

The data for remote sensing is constantly acquired, and new data comes from a growing number and diversity of satellites, while the vast majority of labeled data comes from older s…

cs.CV2025

LookSharp: Attention Entropy Minimization for Test-Time Adaptation

Yash Mali, Evan Shelhamer

Test-time adaptation (TTA) updates models during inference to reduce error on distribution shifts. While entropy minimization over the output distribution has proven effective as a…

cs.CV2025★ 27 cited

AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Christopher F. Brown, Michal R. Kazmierski, Valerie J. Pasquarella +16

Unprecedented volumes of Earth observation data are continually collected around the world, but high-quality labels remain scarce given the effort required to make physical measure…

cs.LG2025

Asymmetric Duos: Sidekicks Improve Uncertainty

Tim G. Zhou, Evan Shelhamer, Geoff Pleiss

The go-to strategy to apply deep networks in settings where uncertainty informs decisions--ensembling multiple training runs with random initializations--is ill-suited for the extr…

cs.CV2025

LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision

Anthony Fuller, Yousef Yassin, Junfeng Wen +4

Vision transformers are ever larger, more accurate, and more expensive to compute. The expense is even more extreme at high resolution as the number of tokens grows quadratically w…

cs.CV2025

ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains

Guillaume Vray, Devavrat Tomar, Xufeng Gao +3

This paper introduces ReservoirTTA, a novel plug-in framework designed for prolonged test-time adaptation (TTA) in scenarios where the test domain continuously shifts over time, in…

cs.CV2025

Thicker and Quicker: A Jumbo Token for Fast Plain Vision Transformers

Anthony Fuller, Yousef Yassin, Daniel G. Kyrollos +2

ViTs are general and accurate, and address many tasks, but ViTs are slow, and are not always practical when efficiency is key. Existing methods for faster ViTs design hybrid non-Vi…

cs.CV2025★ 1 cited

Galileo: Learning Global & Local Features of Many Remote Sensing Modalities

Gabriel Tseng, Anthony Fuller, Marlena Reil +7

We introduce a highly multimodal transformer to represent many remote sensing modalities - multispectral optical, synthetic aperture radar, elevation, weather, pseudo-labels, and m…