51 citations · 52 across the 3 of their papers we have counts for
3 papers
A comprehensive review and new taxonomy on superpixel segmentation
I. B. Barcelos, F. de C. Belém, L. de M. João +3
Superpixel segmentation consists of partitioning images into regions composed of similar and connected pixels. Its methods have been widely used in many computer vision application…
Building Flyweight FLIM-based CNNs with Adaptive Decoding for Object Detection
Leonardo de Melo Joao, Azael de Melo e Sousa, Bianca Martins dos Santos +4
State-of-the-art (SOTA) object detection methods have succeeded in several applications at the price of relying on heavyweight neural networks, which makes them inefficient and inv…
Iterative Saliency Enhancement using Superpixel Similarity
Leonardo de Melo Joao, Alexandre Xavier Falcao
Saliency Object Detection (SOD) has several applications in image analysis. The methods have evolved from image-intrinsic to object-inspired (deep-learning-based) models. When a mo…