373 citations · 521 across the 6 of their papers we have counts for
6 papers
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia, Shuguo Jiang, Zhijie Lin +3
With the rapid development of deep learning technology and improvement in computing capability, deep learning has been widely used in the field of hyperspectral image (HSI) classif…
A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization
Hanyang Peng, Shiqi Yu
Four-variable-independent-regression localization losses, such as Smooth- Loss, are used by default in modern detectors. Nevertheless, this kind of loss is oversimplified s…
Detect Faces Efficiently: A Survey and Evaluations
Yuantao Feng, Shiqi Yu, Hanyang Peng +2
Face detection is to search all the possible regions for faces in images and locate the faces if there are any. Many applications including face recognition, facial expression reco…
Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube
Mirco Hünnefeld
The field of deep learning has become increasingly important for particle physics experiments, yielding a multitude of advances, predominantly in event classification and reconstru…
Reconstructing Neutrino Energy using CNNs for GeV Scale IceCube Events
Jessie Micallef
Measurements of neutrinos at and below 10 GeV provide unique constraints of neutrino oscillation parameters as well as probes of potential Non-Standard Interactions (NSI). The IceC…
Study of Mass Composition of Cosmic Rays with IceTop and IceCube
Paras Koundal, Matthias Plum, Julian Saffer
The IceCube Neutrino Observatory is a multi-component detector at the South Pole which detects high-energy particles emerging from astrophysical events. These particles provide us…