24 citations · 37 across the 3 of their papers we have counts for
4 papers · 1 filter
Instance-Conditioned GAN
Arantxa Casanova, Marlène Careil, Jakob Verbeek +2
Generative Adversarial Networks (GANs) can generate near photo realistic images in narrow domains such as human faces. Yet, modeling complex distributions of datasets such as Image…
Generating unseen complex scenes: are we there yet?
Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano
Although recent complex scene conditional generation models generate increasingly appealing scenes, it is very hard to assess which models perform better and why. This is often due…
Reinforced active learning for image segmentation
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh +1
Learning-based approaches for semantic segmentation have two inherent challenges. First, acquiring pixel-wise labels is expensive and time-consuming. Second, realistic segmentation…
On the iterative refinement of densely connected representation levels for semantic segmentation
Arantxa Casanova, Guillem Cucurull, Michal Drozdzal +2
State-of-the-art semantic segmentation approaches increase the receptive field of their models by using either a downsampling path composed of poolings/strided convolutions or succ…