Search Results for author: Olac Fuentes

Found 4 papers, 2 papers with code

Boundary Aware U-Net for Glacier Segmentation

1 code implementation Proceedings of the Northern Lights Deep Learning Workshop 2023 Bibek Aryal, Katie E. Miles, Sergio A. Vargas Zesati, Olac Fuentes

Large-scale study of glaciers improves our understanding of global glacier change and is imperative for monitoring the ecological environment, preventing disasters, and studying the effects of global climate change.

Segmentation Self-Learning

Local Context Normalization: Revisiting Local Normalization

1 code implementation CVPR 2020 Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic

In many vision applications the local spatial context of the features is important, but most common normalization schemes including Group Normalization (GN), Instance Normalization (IN), and Layer Normalization (LN) normalize over the entire spatial dimension of a feature.

Instance Segmentation object-detection +3

3D Terrain Segmentation in the SWIR Spectrum

no code implementations27 Oct 2018 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).

Image-Based Localization

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