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Statistical model-based evaluation of neural networks
SandipanDas, PrakashB.Gohain, AlirezaM.Javid....
Published date-11/18/2020
Using a statistical model-based data generation, we develop an experimental setup for the evaluation of neural networks (NNs). The setup helps to benchmark a set of NNs vis-a-vis minimum-mean-square-error (MMSE) …
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
JaeminNa, HeechulJung, HyungJinChang....
Published date-11/18/2020
DomainAdaptation, UnsupervisedDomainAdaptation
Unsupervised domain adaptation (UDA) methods for learning domain invariant representations have achieved remarkable progress. However, few studies have been conducted on the case of large domain discrepancies between a source …
StressNet: Detecting Stress in Thermal Videos
SatishKumar, ASMIftekhar, MichaelGoebel....
Published date-11/18/2020
Precise measurement of physiological signals is critical for the effective monitoring of human vital signs. Recent developments in computer vision have demonstrated that signals such as pulse rate and respiration …
FROST: Faster and more Robust One-shot Semi-supervised Training
HelenaE.Liu, LeslieN.Smith....
Published date-11/18/2020
Recent advances in one-shot semi-supervised learning have lowered the barrier for deep learning of new applications. However, the state-of-the-art for semi-supervised learning is slow to train and the performance is …
SRF-GAN: Super-Resolved Feature GAN for Multi-Scale Representation
Seong-HoLee, Seung-HwanBae....
Published date-11/17/2020
Recent convolutional object detectors exploit multi-scale feature representations added with top-down pathway in order to detect objects at different scales and learn stronger semantic feature responses. In general, during the …
Deep Learning Framework From Scratch Using Numpy
AndreiNicolae....
Published date-11/17/2020
This work is a rigorous development of a complete and general-purpose deep learning framework from the ground up. The fundamental components of deep learning - automatic differentiation and gradient methods …