271 citations · 353 across the 8 of their papers we have counts for
8 papers
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples
Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault +1
Adversarial learning baselines for domain adaptation (DA) approaches in the context of semantic segmentation are under explored in semi-supervised framework. These baselines involv…
Physically-admissible polarimetric data augmentation for road-scene analysis
Cyprien Ruffino, Rachel Blin, Samia Ainouz +4
Polarimetric imaging, along with deep learning, has shown improved performances on different tasks including scene analysis. However, its robustness may be questioned because of th…
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
Julien Denize, Jaonary Rabarisoa, Astrid Orcesi +2
Contrastive representation learning has proven to be an effective self-supervised learning method. Most successful approaches are based on Noise Contrastive Estimation (NCE) and us…
Open Set Domain Adaptation using Optimal Transport
Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya +1
We present a 2-step optimal transport approach that performs a mapping from a source distribution to a target distribution. Here, the target has the particularity to present new cl…
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion
Cyprien Ruffino, Romain Hérault, Eric Laloy +1
Generative Adversarial Networks (GANs) have proven successful for unsupervised image generation. Several works have extended GANs to image inpainting by conditioning the generation…
Pixel-wise Conditioning of Generative Adversarial Networks
Cyprien Ruffino, Romain Hérault, Eric Laloy +1
Generative Adversarial Networks (GANs) have proven successful for unsupervised image generation. Several works extended GANs to image inpainting by conditioning the generation with…