7 citations · 11 across the 5 of their papers we have counts for
5 papers
Representation Learning via Consistent Assignment of Views over Random Partitions
Thalles Silva, Adín Ramírez Rivera
We present Consistent Assignment of Views over Random Partitions (CARP), a self-supervised clustering method for representation learning of visual features. CARP learns prototypes…
Self-supervised Learning of Contextualized Local Visual Embeddings
Thalles Santos Silva, Helio Pedrini, Adín Ramírez Rivera
We present Contextualized Local Visual Embeddings (CLoVE), a self-supervised convolutional-based method that learns representations suited for dense prediction tasks. CLoVE deviate…
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering
Bruno Souza, Marius Aasan, Helio Pedrini +1
The intersection of vision and language is of major interest due to the increased focus on seamless integration between recognition and reasoning. Scene graphs (SGs) have emerged a…
Global and Local Features through Gaussian Mixture Models on Image Semantic Segmentation
Darwin Saire, Adín Ramírez Rivera
The semantic segmentation task aims at dense classification at the pixel-wise level. Deep models exhibited progress in tackling this task. However, one remaining problem with these…
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping
Patrik Joslin Kenfack, Kamil Sabbagh, Adín Ramírez Rivera +1
Fairness has become an essential problem in many domains of Machine Learning (ML), such as classification, natural language processing, and Generative Adversarial Networks (GANs).…