[HTML][HTML] Attention in psychology, neuroscience, and machine learning
GW Lindsay - Frontiers in computational neuroscience, 2020 - frontiersin.org
Attention is the important ability to flexibly control limited computational resources. It has
been studied in conjunction with many other topics in neuroscience and psychology …
been studied in conjunction with many other topics in neuroscience and psychology …
Salient object detection: A survey
Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …
object detection, has attracted great interest in computer vision. While many models have …
[图书][B] The feeling of life itself: why consciousness is widespread but can't be computed
C Koch - 2019 - books.google.com
A thought-provoking argument that consciousness—more widespread than previously
assumed—is the feeling of being alive, not a type of computation or a clever hack In The …
assumed—is the feeling of being alive, not a type of computation or a clever hack In The …
Vime: Variational information maximizing exploration
Scalable and effective exploration remains a key challenge in reinforcement learning (RL).
While there are methods with optimality guarantees in the setting of discrete state and action …
While there are methods with optimality guarantees in the setting of discrete state and action …
What do different evaluation metrics tell us about saliency models?
How best to evaluate a saliency model's ability to predict where humans look in images is an
open research question. The choice of evaluation metric depends on how saliency is …
open research question. The choice of evaluation metric depends on how saliency is …
Saliency filters: Contrast based filtering for salient region detection
Saliency estimation has become a valuable tool in image processing. Yet, existing
approaches exhibit considerable variation in methodology, and it is often difficult to attribute …
approaches exhibit considerable variation in methodology, and it is often difficult to attribute …
What catch your attention in SAR images: Saliency detection based on soft-superpixel lacunarity cue
In existing superpixel-wise saliency detection algorithms, superpixel generation often is an
isolated preprocessing step. The performance of saliency maps is determined by the …
isolated preprocessing step. The performance of saliency maps is determined by the …
State-of-the-art in visual attention modeling
Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …
very active research area over the past 25 years. Many different models of attention are now …
Saliency detection: A boolean map approach
J Zhang, S Sclaroff - … of the IEEE international conference on …, 2013 - cv-foundation.org
A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized
by a set of binary images, which are generated by randomly thresholding the image's color …
by a set of binary images, which are generated by randomly thresholding the image's color …
Markov blankets, information geometry and stochastic thermodynamics
This paper considers the relationship between thermodynamics, information and inference.
In particular, it explores the thermodynamic concomitants of belief updating, under a …
In particular, it explores the thermodynamic concomitants of belief updating, under a …