11 citations · 15 across the 3 of their papers we have counts for
7 papers · 1 filter
Detecting Cattle and Elk in the Wild from Space
Caleb Robinson, Anthony Ortiz, Lacey Hughey +2
Localizing and counting large ungulates -- hoofed mammals like cows and elk -- in very high-resolution satellite imagery is an important task for supporting ecological studies. Pri…
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres +2
Longitudinal studies are vital to understanding dynamic changes of the planet, but labels (e.g., buildings, facilities, roads) are often available only for a single point in time.…
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Shimaa Baraka, Benjamin Akera, Bibek Aryal +7
Glacier mapping is key to ecological monitoring in the hkh region. Climate change poses a risk to individuals whose livelihoods depend on the health of glacier ecosystems. In this…
Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris +4
Normalization layers have been shown to improve convergence in deep neural networks, and even add useful inductive biases. In many vision applications the local spatial context of…
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou +4
Batch normalization has been widely used to improve optimization in deep neural networks. While the uncertainty in batch statistics can act as a regularizer, using these dataset st…
3D Terrain Segmentation in the SWIR Spectrum
Dalton Rosario, Anthony Ortiz, Olac Fuentes
We focus on the automatic 3D terrain segmentation problem using hyperspectral shortwave IR (HS-SWIR) imagery and 3D Digital Elevation Models (DEM). The datasets were independently…