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FFD: Fast Feature Detector
MortezaGhahremani, YonghuaiLiu, BernardTiddeman....
Published date-12/01/2020
Scale-invariance, good localization and robustness to noise and distortions are the main properties that a local feature detector should possess. Most existing local feature detectors find excessive unstable feature points …
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
JayNandy, WynneHsu, MongLiLee....
Published date-12/01/2020
Among existing uncertainty estimation approaches, Dirichlet Prior Network (DPN) distinctly models different predictive uncertainty types. However, for in-domain examples with high data uncertainties among multiple classes, even a DPN model …
Improving model calibration with accuracy versus uncertainty optimization
RanganathKrishnan, OmeshTickoo....
Published date-12/01/2020
ImageClassification, VariationalInference
Obtaining reliable and accurate quantification of uncertainty estimates from deep neural networks is important in safety-critical applications. A well-calibrated model should be accurate when it is certain about its prediction …
Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces
AkashSaha, BalamuruganPalaniappan....
Published date-12/01/2020
Operator-valued kernels have shown promise in supervised learning problems with functional inputs and functional outputs. The crucial (and possibly restrictive) assumption of positive definiteness of operator-valued kernels has been instrumental …
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
ShreyasFadnavis, JoshuaBatson, EleftheriosGaryfallidis....
Published date-12/01/2020
Denoising, Self-SupervisedLearning
Diffusion-weighted magnetic resonance imaging (DWI) is the only non-invasive method for quantifying microstructure and reconstructing white-matter pathways in the living human brain. Fluctuations from multiple sources create significant noise in …
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations
MinaKonakovicLukovic, YunshengTian, WojciechMatusik....
Published date-12/01/2020
Many science, engineering, and design optimization problems require balancing the trade-offs between several conflicting objectives. The objectives are often black-box functions whose evaluations are time-consuming and costly. Multi-objective Bayesian optimization …