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U-PEN Mamba: Progressive Expansion with Selective State-Space Modeling for Efficient Retinal Vessel Segmentation
Abel A. Reyes-Angulo, Sidike Paheding, Vijayan K. Asari +2
Accurate retinal vessel segmentation is important for computer-aided ophthalmic analysis, yet thin vessels, low contrast, and severe foreground-background imbalance remain challeng…
Global-Local Contextual Progressive Expansion Network for Martian Landslide Segmentation in Multimodal Remote Sensing Imagery
Leo Thomas Ramos, Sidike Paheding, Abel A. Reyes-Angulo +4
Automated landslide segmentation on Mars is one of the important tasks for understanding its surface processes, and all will aid in future space exploration. However, it remains a…
Self-Directed Task Identification
Timothy Gould, Sidike Paheding
In this work, we present a novel machine learning framework called Self-Directed Task Identification (SDTI), which enables models to autonomously identify the correct target variab…
MMLSv2: A Multimodal Dataset for Martian Landslide Detection in Remote Sensing Imagery
Sidike Paheding, Abel Reyes-Angulo, Leo Thomas Ramos +5
We present MMLSv2, a dataset for landslide segmentation on Martian surfaces. MMLSv2 consists of multimodal imagery with seven bands: RGB, digital elevation model, slope, thermal in…