Current referring video object segmentation (R-VOS) techniques extract
c...
Decisions made by convolutional neural networks(CNN) can be understood a...
Current semi-supervised video object segmentation (VOS) methods usually
...
Daily manipulation tasks are characterized by regular characteristics
as...
The Jaccard index, also known as Intersection-over-Union (IoU), is one o...
Fine-grained visual categorization (FGVC), which aims at classifying obj...
While the fine-grained visual categorization (FGVC) problems have been
g...
We propose a self-supervised spatio-temporal matching method coined
Moti...
The core for tackling the fine-grained visual categorization (FGVC) is t...
The precise detection of blood vessels in retinal images is crucial to t...
Interest point detection is one of the most fundamental and critical pro...
Metric-based few-shot fine-grained image classification (FSFGIC) aims to...
Ensemble trees are a popular machine learning model which often yields h...
In this work, we present a novel mask guided attention (MGA) method for
...
Scene parsing from images is a fundamental yet challenging problem in vi...
Recent research on deep neural networks (DNNs) has primarily focused on
...
Two-dimensional singular decomposition (2DSVD) has been widely used for ...
Regression-based error modelling has been extensively studied for face
r...
Traditional tensor decomposition methods, e.g., two dimensional principa...
Current orthogonal matching pursuit (OMP) algorithms calculate the
corre...
Convolutional neural networks (CNNs) with residual links (ResNets) and c...
Exterior contour and interior structure are both vital features for
clas...
Leaf image recognition techniques have been actively researched for plan...
Facial landmark detection is a crucial prerequisite for many face analys...
Robust facial landmark localization remains a challenging task when face...
Image segmentation is considered to be one of the critical tasks in
hype...
Recently, the face recognizers based on linear representations have been...