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Found 6 papers, 3 papers with code
Novelty Driven Evolutionary Neural Architecture Search
This can be reduced by using a supernet for estimating the fitness of an architecture due to weight sharing among all architectures in the search space.
Neural Architecture Search using Progressive Evolution
This can be reduced by using a supernet to estimate the fitness of every architecture in the search space due to its weight sharing nature.
Neural Architecture Search using Covariance Matrix Adaptation Evolution Strategy
Evolution-based neural architecture search requires high computational resources, resulting in long search time.
Evolving Neural Architecture Using One Shot Model
The architectures are represented by using the architecture parameter of the one shot model which results in the weight sharing among the architectures for a given population of architectures and also weight inheritance from one generation to the next generation of architectures.
Ranked #103 on
Neural Architecture Search
on ImageNet
IF-Net: An Illumination-invariant Feature Network
To show the practicality, we further evaluate IF-Net on the task of visual localization under large illumination changes scenes, and achieves the best localization accuracy.
Ranked #1 on
Image Stitching
on HPatches
To Know Where We Are: Vision-Based Positioning in Outdoor Environments
Augmented reality (AR) displays become more and more popular recently, because of its high intuitiveness for humans and high-quality head-mounted display have rapidly developed.
