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From the 1 of 47 linked papers with an AI index.

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20072023
most citedADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

1.4k citations · 2.8k across the 38 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020

Artificial Dummies for Urban Dataset Augmentation

Antonín Vobecký, David Hurych, Michal Uřičář +2

Existing datasets for training pedestrian detectors in images suffer from limited appearance and pose variation. The most challenging scenarios are rarely included because they are…

cs.CV2020

OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning

Spyros Gidaris, Andrei Bursuc, Gilles Puy +3

Learning image representations without human supervision is an important and active research field. Several recent approaches have successfully leveraged the idea of making such a…

cs.LG2020

Spherical Perspective on Learning with Normalization Layers

Simon Roburin, Yann de Mont-Marin, Andrei Bursuc +3

Normalization Layers (NLs) are widely used in modern deep-learning architectures. Despite their apparent simplicity, their effect on optimization is not yet fully understood. This…

cs.CV2020

Photo style transfer with consistency losses

Xu Yao, Gilles Puy, Patrick Pérez

We address the problem of style transfer between two photos and propose a new way to preserve photorealism. Using the single pair of photos available as input, we train a pair of d…

cs.CV2020★ 10 cited

CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations

A. Ouaknine, A. Newson, J. Rebut +2

High quality perception is essential for autonomous driving (AD) systems. To reach the accuracy and robustness that are required by such systems, several types of sensors must be c…

cs.CV2020★ 6 cited

StyleRig: Rigging StyleGAN for 3D Control over Portrait Images

Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj +5

StyleGAN generates photorealistic portrait images of faces with eyes, teeth, hair and context (neck, shoulders, background), but lacks a rig-like control over semantic face paramet…