198 citations · 324 across the 22 of their papers we have counts for
4 papers · 1 filter
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
Evelyn A. Stump, Francesco Luzi, Leslie M. Collins +1
Recent object detection models for infrared (IR) imagery are based upon deep neural networks (DNNs) and require large amounts of labeled training imagery. However, publicly availab…
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
Gregory P. Spell, Simiao Ren, Leslie M. Collins +1
We propose and show the efficacy of a new method to address generic inverse problems. Inverse modeling is the task whereby one seeks to determine the control parameters of a natura…
Transformers For Recognition In Overhead Imagery: A Reality Check
Francesco Luzi, Aneesh Gupta, Leslie Collins +2
There is evidence that transformers offer state-of-the-art recognition performance on tasks involving overhead imagery (e.g., satellite imagery). However, it is difficult to make u…
Meta-simulation for the Automated Design of Synthetic Overhead Imagery
Handi Yu, Simiao Ren, Leslie M. Collins +1
The use of synthetic (or simulated) data for training machine learning models has grown rapidly in recent years. Synthetic data can often be generated much faster and more cheaply…