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Exploring Simple Siamese Representation Learning
XinleiChen, KaimingHe....
Published date-11/20/2020
RepresentationLearning, UnsupervisedRepresentationLearning
Siamese networks have become a common structure in various recent models for unsupervised visual representation learning. These models maximize the similarity between two augmentations of one image, subject to certain …
Robust super-resolution depth imaging via a multi-feature fusion deep network
AliceRuget, StephenMcLaughlin, RobertK.Henderson....
Published date-11/20/2020
AutonomousVehicles, Denoising, ImageDenoising, SuperResolution, Super-Resolution
Three-dimensional imaging plays an important role in imaging applications where it is necessary to record depth. The number of applications that use depth imaging is increasing rapidly, and examples include …
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
RewonChild....
Published date-11/20/2020
ImageGeneration
We present a hierarchical VAE that, for the first time, outperforms the PixelCNN in log-likelihood on all natural image benchmarks. We begin by observing that VAEs can actually implement autoregressive …
Assessing out-of-domain generalization for robust building damage detection
VitusBenson, AlexanderEcker....
Published date-11/20/2020
DomainGeneralization
An important step for limiting the negative impact of natural disasters is rapid damage assessment after a disaster occurred. For instance, building damage detection can be automated by applying computer …
Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay
HugoTessier, VincentGripon, MathieuLéonardon....
Published date-11/20/2020
NetworkPruning
During the last decade, deep convolutional networks have become the reference for many machine learning tasks, especially in computer vision. However, large computational needs make them hard to deploy on …
Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews
QuocThaiNguyen, ThoaiLinhNguyen, NgocHoangLuong....
Published date-11/20/2020
SentimentAnalysis
Sentiment analysis is an important task in the field ofNature Language Processing (NLP), in which users' feedbackdata on a specific issue are evaluated and analyzed. Manydeep learning models have been …