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Deep Multi-view Depth Estimation with Predicted Uncertainty
TongKe, TienDo, KhiemVuong....
Published date-11/19/2020
DepthEstimation, OpticalFlowEstimation
In this paper, we address the problem of estimating dense depth from a sequence of images using deep neural networks. Specifically, we employ a dense-optical-flow network to compute correspondences and …
Error-Bounded Correction of Noisy Labels
SongzhuZheng, PengxiangWu, AmanGoswami....
Published date-11/19/2020
To collect large scale annotated data, it is inevitable to introduce label noise, i.e., incorrect class labels. To be robust against label noise, many successful methods rely on the noisy …
Improving Bayesian Network Structure Learning in the Presence of Measurement Error
YangLiu, AnthonyC.Constantinou, ZhigaoGuo....
Published date-11/19/2020
Structure learning algorithms that learn the graph of a Bayesian network from observational data often do so by assuming the data correctly reflect the true distribution of the variables. However, …
Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops
FlorianStelzer, AndréRöhm, RaulVicente....
Published date-11/19/2020
Deep neural networks are among the most widely applied machine learning tools showing outstanding performance in a broad range of tasks. We present a method for folding a deep neural …
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
XueYang, LipingHou, YueZhou....
Published date-11/19/2020
SceneText
Rotation detection serves as a fundamental building block in many visual applications involving aerial image, scene text, and face etc. Differing from the dominant regression-based approaches for orientation estimation, this …
Relation Extraction with Contextualized Relation Embedding (CRE)
XiaoyuChen, RohanBadlani....
Published date-11/19/2020
EntityEmbeddings, RelationExtraction
Relation extraction is the task of identifying relation instance between two entities given a corpus whereas Knowledge base modeling is the task of representing a knowledge base, in terms of …