output
20122026
most citedLearning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

226 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018 · cs.CVShow all

3 papers · 2 filters

cs.CV2018★ 26 cited

SPIGAN: Privileged Adversarial Learning from Simulation

Kuan-Hui Lee, German Ros, Jie Li +1

Deep Learning for Computer Vision depends mainly on the source of supervision.Photo-realistic simulators can generate large-scale automatically labeled syntheticdata, but introduce…

cs.CV2018★ 7 cited

Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks

Adrià Recasens, Petr Kellnhofer, Simon Stent +2

We introduce a saliency-based distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a given task. Our differentiable layer…

cs.CV2018★ 1 cited

Deep-Temporal LSTM for Daily Living Action Recognition

Srijan Das, Michal Koperski, Francois Bremond +1

In this paper, we propose to improve the traditional use of RNNs by employing a many to many model for video classification. We analyze the importance of modeling spatial layout an…