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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 …
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
RihuanKe, AngelicaAviles-Rivero, SaurabhPandey....
Published date-12/01/2020
SemanticSegmentation, Semi-SupervisedSemanticSegmentation
Semantic segmentation has been widely investigated in the community, in which the state of the art techniques are based on supervised models. Those models have reported unprecedented performance at the …
Inferring learning rules from animal decision-making
ZoeAshwood, NicholasA.Roy, JiHyunBak....
Published date-12/01/2020
DecisionMaking
How do animals learn? This remains an elusive question in neuroscience. Whereas reinforcement learning often focuses on the design of algorithms that enable artificial agents to efficiently learn new tasks, …
Soft Contrastive Learning for Visual Localization
JanineThoma, DandaPaniPaudel, LucV.Gool....
Published date-12/01/2020
ContrastiveLearning, ImageRetrieval, VisualLocalization
Localization by image retrieval is inexpensive and scalable due to simple mapping and matching techniques. Such localization, however, depends upon the quality of image features often obtained using Contrastive learning …
Optimal visual search based on a model of target detectability in natural images
ShimaRashidi, KristaEhinger, AndrewTurpin....
Published date-12/01/2020
EyeTracking, Foveation
To analyse visual systems, the concept of an ideal observer promises an optimal response for a given task. Bayesian ideal observers can provide optimal responses under uncertainty, if they are …
Fair Multiple Decision Making Through Soft Interventions
YaoweiHu, YongkaiWu, LuZhang....
Published date-12/01/2020
DecisionMaking, fairness
Previous research in fair classification mostly focuses on a single decision model. In reality, there usually exist multiple decision models within a system and all of which may contain a …