Home /
Research
Showing 397 - 402 / 897
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 …
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
DiFeng, AliHarakeh, StevenWaslander....
Published date-11/20/2020
AutonomousDriving, ObjectDetection
Capturing uncertainty in object detection is indispensable for safe autonomous driving. In recent years, deep learning has become the de-facto approach for object detection, and many probabilistic object detectors have …
Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision
KwanseokOh, JeeSeokYoon, Heung-IlSuk....
Published date-11/20/2020
There exists an apparent negative correlation between performance and interpretability of deep learning models. In an effort to reduce this negative correlation, we propose Born Identity Network (BIN), which is …
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos
YasserDahou, MarouaneTliba, KevinMcGuinness....
Published date-11/20/2020
SaliencyPrediction
The spherical domain representation of 360 video/image presents many challenges related to the storage, processing, transmission and rendering of omnidirectional videos (ODV). Models of human visual attention can be used …
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 …