no code implementations • 12 Apr 2016 • Moacir Ponti, Mateus Riva
We present a classification method with incremental capabilities based on the Optimum-Path Forest classifier (OPF).
1 code implementation • 9 Sep 2016 • Gabriel B. Paranhos da Costa, Welinton A. Contato, Tiago S. Nazare, João E. S. Batista Neto, Moacir Ponti
Image classification is one of the main research problems in computer vision and machine learning.
no code implementations • 16 Nov 2016 • Tu Bui, Leonardo Ribeiro, Moacir Ponti, John Collomosse
We propose and evaluate several triplet CNN architectures for measuring the similarity between sketches and photographs, within the context of the sketch based image retrieval (SBIR) task.
1 code implementation • CVPR 2020 • Leo Sampaio Ferraz Ribeiro, Tu Bui, John Collomosse, Moacir Ponti
Sketchformer is a novel transformer-based representation for encoding free-hand sketches input in a vector form, i. e. as a sequence of strokes.
no code implementations • 14 Dec 2020 • Sonia Castelo, Moacir Ponti, Rosane Minghim
Multiple-instance learning (MIL) is a paradigm of machine learning that aims to classify a set (bag) of objects (instances), assigning labels only to the bags.
1 code implementation • 16 Aug 2021 • Leo Sampaio Ferraz Ribeiro, Tu Bui, John Collomosse, Moacir Ponti
Scene Designer is a novel method for searching and generating images using free-hand sketches of scene compositions; i. e. drawings that describe both the appearance and relative positions of objects.