Foveation
8 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Foveation
Most implemented papers
DRAW: A Recurrent Neural Network For Image Generation
This paper introduces the Deep Recurrent Attentive Writer (DRAW) neural network architecture for image generation.
Emergent Properties of Foveated Perceptual Systems
The primary model has a foveated-textural input stage, which we compare to a model with foveated-blurred input and a model with spatially-uniform blurred input (both matched for perceptual compression), and a final reference model with minimal input-based compression.
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification
Recent effective methods are developed in a pair-wise similarity learning system to detect a fixed set of features from distinct regions which are mapped to their vector embeddings for the distance measuring.
Foveation for Segmentation of Ultra-High Resolution Images
We demonstrate on three publicly available high-resolution image datasets that the foveation module consistently improves segmentation performance over the cases trained with patches of fixed FoV/resolution trade-off.
Optimal visual search based on a model of target detectability in natural images
Finally, the model of target detectability is used in a Bayesian ideal observer model of visual search, and compared to human search performance.
CUDA-Optimized real-time rendering of a Foveated Visual System
The spatially-varying field of the human visual system has recently received a resurgence of interest with the development of virtual reality (VR) and neural networks.
Human Eyes Inspired Recurrent Neural Networks are More Robust Against Adversarial Noises
Compared to human vision, computer vision based on convolutional neural networks (CNN) are more vulnerable to adversarial noises.
Foveation in the Era of Deep Learning
In this paper, we tackle the challenge of actively attending to visual scenes using a foveated sensor.