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Found 6 papers, 2 papers with code
Robust Semantic Segmentation with Superpixel-Mix
Along with predictive performance and runtime speed, reliability is a key requirement for real-world semantic segmentation.
Learning a Discriminant Latent Space with Neural Discriminant Analysis
NDA transforms deep features to become more discriminative and, therefore, improves the performances in various tasks.
Deep Ranking with Adaptive Margin Triplet Loss
We propose a simple modification from a fixed margin triplet loss to an adaptive margin triplet loss.
3D Morphable Face Models -- Past, Present and Future
In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed.
Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed
Deep convolutional neural networks (DCNNs) also create generalizable face representations, but with cascades of simulated neurons.
Automated 3D Face Reconstruction From Multiple Images Using Quality Measures
Automated 3D reconstruction of faces from images is challenging if the image material is difficult in terms of pose, lighting, occlusions and facial expressions, and if the initial 2D feature positions are inaccurate or unreliable.
Ranked #6 on
3D Face Reconstruction
on Florence
(RMSE Cooperative metric)
