Layercam: Exploring hierarchical class activation maps for localization
The class activation maps are generated from the final convolutional layer of CNN. They can
highlight discriminative object regions for the class of interest. These discovered object …
highlight discriminative object regions for the class of interest. These discovered object …
Jcs: An explainable covid-19 diagnosis system by joint classification and segmentation
Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in
over 200 countries, influencing billions of humans. To control the infection, identifying and …
over 200 countries, influencing billions of humans. To control the infection, identifying and …
GMS: Grid-based motion statistics for fast, ultra-robust feature correspondence
Incorporating smoothness constraints into feature matching is known to enable ultra-robust
matching. However, such formulations are both complex and slow, making them unsuitable …
matching. However, such formulations are both complex and slow, making them unsuitable …
Miniseg: An extremely minimum network for efficient covid-19 segmentation
The rapid spread of the new pandemic, ie, COVID-19, has severely threatened global
health. Deep-learning-based computer-aided screening, eg, COVID-19 infected CT area …
health. Deep-learning-based computer-aided screening, eg, COVID-19 infected CT area …
A comprehensive review and new taxonomy on superpixel segmentation
IB Barcelos, FDC Belém, LDM João… - ACM Computing …, 2024 - dl.acm.org
Superpixel segmentation consists of partitioning images into regions composed of similar
and connected pixels. Its methods have been widely used in many computer vision …
and connected pixels. Its methods have been widely used in many computer vision …
Rethinking computer-aided tuberculosis diagnosis
As a serious infectious disease, tuberculosis (TB) is one of the major threats to human health
worldwide, leading to millions of death every year. Although early diagnosis and treatment …
worldwide, leading to millions of death every year. Although early diagnosis and treatment …
[HTML][HTML] A visual-degradation-inspired model with HSV color-encoding for contour detection
H Zhong, R Wang - Journal of Neuroscience Methods, 2022 - Elsevier
Background Given energy metabolism, visual information degradation plays an essential
role in the retina-lateral geniculate nucleus (LGN)-primary visual cortex (V1)-secondary …
role in the retina-lateral geniculate nucleus (LGN)-primary visual cortex (V1)-secondary …
DNA: Deeply supervised nonlinear aggregation for salient object detection
Recent progress on salient object detection mainly aims at exploiting how to effectively
integrate multiscale convolutional features in convolutional neural networks (CNNs). Many …
integrate multiscale convolutional features in convolutional neural networks (CNNs). Many …
An adaptive and robust edge detection method based on edge proportion statistics
Y Liu, Z **e, H Liu - IEEE Transactions on Image Processing, 2020 - ieeexplore.ieee.org
Edge detection is one of the most fundamental operations in the field of image analysis and
computer vision as a critical preprocessing step for high-level tasks. It is difficult to give a …
computer vision as a critical preprocessing step for high-level tasks. It is difficult to give a …
Privacy-preserving cross-environment human activity recognition
Recent studies have demonstrated the success of using the channel state information (CSI)
from the WiFi signal to analyze human activities in a fixed and well-controlled environment …
from the WiFi signal to analyze human activities in a fixed and well-controlled environment …