most citedRevisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

7 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Barely-Visible Surface Crack Detection for Wind Turbine Sustainability

Sourav Agrawal, Isaac Corley, Conor Wallace +2

The production of wind energy is a crucial part of sustainable development and reducing the reliance on fossil fuels. Maintaining the integrity of wind turbines to produce this ene…

cs.CV20243 cited

A Change Detection Reality Check

Isaac Corley, Caleb Robinson, Anthony Ortiz

In recent years, there has been an explosion of proposed change detection deep learning architectures in the remote sensing literature. These approaches claim to offer state-of-the…

cs.CV2024

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery

Caleb Robinson, Isaac Corley, Anthony Ortiz +3

Fully understanding a complex high-resolution satellite or aerial imagery scene often requires spatial reasoning over a broad relevant context. The human object recognition system…

cs.CV20237 cited

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

Isaac Corley, Caleb Robinson, Rahul Dodhia +2

Research in self-supervised learning (SSL) with natural images has progressed rapidly in recent years and is now increasingly being applied to and benchmarked with datasets contain…

cs.CV2023

Single-View Height Estimation with Conditional Diffusion Probabilistic Models

Isaac Corley, Peyman Najafirad

Digital Surface Models (DSM) offer a wealth of height information for understanding the Earth's surface as well as monitoring the existence or change in natural and man-made struct…