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On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
MelikaPayvand, MohammedE.Fouda, FadiKurdahi....
Published date-11/21/2020
Recent breakthroughs in neuromorphic computing show that local forms of gradient descent learning are compatible with Spiking Neural Networks (SNNs) and synaptic plasticity. Although SNNs can be scalably implemented using …
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference
OndřejDušek, ZdeněkKasner....
Published date-11/21/2020
Data-to-TextGeneration, NaturalLanguageInference, TextGeneration
A major challenge in evaluating data-to-text (D2T) generation is measuring the semantic accuracy of the generated text, i.e. checking if the output text contains all and only facts supported by …
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks
KemalOksuz, BarisCanCam, SinanKalkan....
Published date-11/21/2020
InstanceSegmentation, KeypointDetection, ObjectDetection, PanopticSegmentation, SemanticSegmentation
Despite being widely used as a performance measure for visual detection tasks, Average Precision (AP) is limited in (i) including localisation quality, (ii) interpretability and (iii) applicability to outputs without …
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images
JamesRenHouLee, MayaPavlova, MahmoudFamouri....
Published date-11/21/2020
Skin cancer continues to be the most frequently diagnosed form of cancer in the U.S., with not only significant effects on health and well-being but also significant economic costs associated …
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion
LeiLI, SupingWu....
Published date-11/21/2020
3DObjectReconstruction, 3DShapeReconstruction, DomainAdaptation, ObjectReconstruction
3D object reconstruction from a single-view image is a long-standing challenging problem. Previous work was difficult to accurately reconstruct 3D shapes with a complex topology which has rich details at …
Height Prediction and Refinement from Aerial Images with Semantic and Geometric Guidance
ElhousniMahdi, HuangXinming, ZhangZiming....
Published date-11/21/2020
Denoising
Deep learning provides a powerful new approach to many computer vision tasks. Height prediction from aerial images is one of those tasks that benefited greatly from the deployment of deep …