6 papers
Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detection
Patricia L. Suarez, Leo Thomas Ramos, Angel D. Sappa
Bi-CamoDiffusion is introduced, an evolution of the CamoDiffusion framework for camouflaged object detection. It integrates edge priors into early-stage embeddings via a parameter-…
A Parameter-efficient Convolutional Approach for Weed Detection in Multispectral Aerial Imagery
Leo Thomas Ramos, Angel D. Sappa
We introduce FCBNet, an efficient model designed for weed segmentation. The architecture is based on a fully frozen ConvNeXt backbone, the proposed Feature Correction Block (FCB),…
StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery
Leo Thomas Ramos, Angel D. Sappa
We present StrokeNeXt, a model for stroke classification in 2D Computed Tomography (CT) images. StrokeNeXt employs a dual-branch design with two ConvNeXt encoders, whose features a…
Multi-encoder ConvNeXt Network with Smooth Attentional Feature Fusion for Multispectral Semantic Segmentation
Leo Thomas Ramos, Angel D. Sappa
This work proposes MeCSAFNet, a multi-branch encoder-decoder architecture for land cover segmentation in multispectral imagery. The model separately processes visible and non-visib…
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…
A Decade of You Only Look Once (YOLO) for Object Detection: A Review
Leo Thomas Ramos, Angel D. Sappa
This review marks the tenth anniversary of You Only Look Once (YOLO), one of the most influential frameworks in real-time object detection. Over the past decade, YOLO has evolved f…