4 citations · 8 across the 10 of their papers we have counts for
3 papers · 1 filter
Evaluation of Barlow Twins and VICReg self-supervised learning for sound patterns of bird and anuran species
Fábio Felix Dias, Moacir Antonelli Ponti, Mílton Cezar Ribeiro +1
Taking advantage of the structure of large datasets to pre-train Deep Learning models is a promising strategy to decrease the need for supervised data. Self-supervised learning met…
Dendrogram distance: an evaluation metric for generative networks using hierarchical clustering
Gustavo Sutter Carvalho, Moacir Antonelli Ponti
We present a novel metric for generative modeling evaluation, focusing primarily on generative networks. The method uses dendrograms to represent real and fake data, allowing for t…
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval
Leo Sampaio Ferraz Ribeiro, Moacir Antonelli Ponti
Sketch-an-Anchor is a novel method to train state-of-the-art Zero-shot Sketch-based Image Retrieval (ZSSBIR) models in under an epoch. Most studies break down the problem of ZSSBIR…