1 code implementation • 2 Apr 2023 • Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan Garibaldi, Fabio Porto, Eduardo Ogasawara
They improved event detection evaluation by associating events and their representative detections, incorporating temporal tolerance in over 36\% of experiments compared to the usual classification metrics.
1 code implementation • 28 Apr 2020 • Mina Jafari, Dorothee Auer, Susan Francis, Jonathan Garibaldi, Xin Chen
In comparison with ResNet-based, DenseNet-based and attention network (AttnNet) based methods within the same encoder-decoder network structure, our method achieves significantly higher segmentation accuracy with fewer number of model parameters than DenseNet and AttnNet.
1 code implementation • 28 Apr 2020 • Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan Francis, Jonathan Garibaldi, Xin Chen
In this paper, we present a generic deep convolutional neural network (DCNN) for multi-class image segmentation.
no code implementations • 24 Feb 2015 • Jenna Reps, Uwe Aickelin, Jonathan Garibaldi, Chris Damski
The results showed there were clear differences in the way the profiles interact with the different advert genres and the results of this paper suggest that mobile advert targeting would improve the frequency that users interact with an advert.