5 citations · 5 across the 3 of their papers we have counts for
3 papers
Camo-M3FD: A New Benchmark Dataset for Cross-Spectral Camouflaged Pedestrian Detection
Henry O. Velesaca, Andrea Mero, Guillermo A. Castillo +1
Pedestrian detection is fundamental to autonomous driving, robotics, and surveillance. Despite progress in deep learning, reliable identification remains challenging due to occlusi…
SWNet: A Cross-Spectral Network for Camouflaged Weed Detection
Henry O. Velesaca, Luigi Miranda, Angel D. Sappa
This paper presents SWNet, a bimodal end-to-end cross-spectral network specifically engineered for the detection of camouflaged weeds in dense agricultural environments. Plant camo…
Tiny and Efficient Model for the Edge Detection Generalization
Xavier Soria, Yachuan Li, Mohammad Rouhani +1
Most high-level computer vision tasks rely on low-level image operations as their initial processes. Operations such as edge detection, image enhancement, and super-resolution, pro…