1 citations · 1 across the 3 of their papers we have counts for
6 papers
Pose Guided Attention for Multi-label Fashion Image Classification
Beatriz Quintino Ferreira, João P. Costeira, Ricardo G. Sousa +2
We propose a compact framework with guided attention for multi-label classification in the fashion domain. Our visual semantic attention model (VSAM) is supervised by automatic pos…
A Hierarchical Deep Learning Natural Language Parser for Fashion
José Marcelino, João Faria, Luís Baía +1
This work presents a hierarchical deep learning natural language parser for fashion. Our proposal intends not only to recognize fashion-domain entities but also to expose syntactic…
A Unified Model with Structured Output for Fashion Images Classification
Beatriz Quintino Ferreira, Luís Baía, João Faria +1
A picture is worth a thousand words. Albeit a cliché, for the fashion industry, an image of a clothing piece allows one to perceive its category (e.g., dress), sub-category (e.g.,…
Stacked Denoising Autoencoders and Transfer Learning for Immunogold Particles Detection and Recognition
Ricardo Gamelas Sousa, Jorge M. Santos, Luís M. Silva +7
In this paper we present a system for the detection of immunogold particles and a Transfer Learning (TL) framework for the recognition of these immunogold particles. Immunogold par…
Distribution-Based Categorization of Classifier Transfer Learning
Ricardo Gamelas Sousa, Luís A. Alexandre, Jorge M. Santos +2
Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction…
The Data Replication Method for the Classification with Reject Option
Ricardo Sousa, Jaime S. Cardoso
Classification is one of the most important tasks of machine learning. Although the most well studied model is the two-class problem, in many scenarios there is the opportunity to…