Foveation
12 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
ericjang/draw
•
•
This paper introduces the Deep Recurrent Attentive Writer (DRAW) neural network architecture for image generation.
Emergent Properties of Foveated Perceptual Systems
ArturoDeza/EmergentProperties
•
•
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
lxasqjc/Foveation-Segmentation
•
•
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
rashidis/bio_based_detectability
•
•
NeurIPS 2020
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
Our findings suggest that the model can attend and gaze in ways similar to humans without being explicitly trained to mimic human attention, and that the model can enhance robustness against adversarial attacks due to its retinal sampling and recurrent processing.
Foveation in the Era of Deep Learning
georgekillick90/fovconvnext
•
•
In this paper, we tackle the challenge of actively attending to visual scenes using a foveated sensor.
Exploring Foveation and Saccade for Improved Weakly-Supervised Localization
TimurIbrayev/FALcon
•
•
NeurIPS 2023 Workshop on Gaze Meets ML, Proceedings of Machine Learning Research 2023
While foveation enables it to process different regions of the input with variable degrees of detail, saccades allow it to change the focus point of such foveated regions.
A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic Scenes
The objects we perceive guide our eye movements when observing real-world dynamic scenes.
