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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…
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…
Cross-view geo-localization: a survey
Abhilash Durgam, Sidike Paheding, Vikas Dhiman +1
Cross-view geo-localization has garnered notable attention in the realm of computer vision, spurred by the widespread availability of copious geotagged datasets and the advancement…
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study
Abel Reyes-Angulo, Sidike Paheding
Skin cancer, a deadly form of cancer, exhibits a 23\% survival rate in the USA with late diagnosis. Early detection can significantly increase the survival rate, and facilitate tim…
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study
Sidike Paheding, Abel A. Reyes-Angulo
The back-propagation algorithm has long been the de-facto standard in optimizing weights and biases in neural networks, particularly in cutting-edge deep learning models. Its wides…