research
∙
08/29/2023
A Multimodal Visual Encoding Model Aided by Introducing Verbal Semantic Information
Biological research has revealed that the verbal semantic information in...
share
research
∙
08/01/2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness
The deep neural network has attained significant efficiency in image rec...
research
∙
10/06/2022
Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks
Adversarial attacks are considered the intrinsic vulnerability of CNNs. ...
research
∙
07/30/2022
LRIP-Net: Low-Resolution Image Prior based Network for Limited-Angle CT Reconstruction
In the practical applications of computed tomography imaging, the projec...
research
∙
05/08/2022
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks
The Graph Convolutional Networks (GCNs) have achieved excellent results ...
research
∙
10/23/2021
RPT++: Customized Feature Representation for Siamese Visual Tracking
While recent years have witnessed remarkable progress in the feature rep...
research
∙
09/29/2021
Adaptive Multi-layer Contrastive Graph Neural Networks
We present Adaptive Multi-layer Contrastive Graph Neural Networks (AMC-G...
research
∙
06/03/2021
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout
Deep neural networks(DNNs) is vulnerable to be attacked by adversarial e...
research
∙
05/06/2021
Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model
Deep neural networks have been shown to suffer from critical vulnerabili...
research
∙
08/08/2020
RPT: Learning Point Set Representation for Siamese Visual Tracking
While remarkable progress has been made in robust visual tracking, accur...
research
∙
03/26/2020
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features
On basis of functional magnetic resonance imaging (fMRI), researchers ar...
research
∙
03/13/2020
BigGAN-based Bayesian reconstruction of natural images from human brain activity
In the visual decoding domain, visually reconstructing presented images ...
research
∙
02/01/2020
AdvJND: Generating Adversarial Examples with Just Noticeable Difference
Compared with traditional machine learning models, deep neural networks ...
research
∙
09/17/2019
HAD-GAN: A Human-perception Auxiliary Defense GAN model to Defend Adversarial Examples
Adversarial examples reveal the vulnerability and unexplained nature of ...
research
∙
07/27/2019
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization
Recently, visual encoding based on functional magnetic resonance imaging...
research
∙
04/12/2019
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense
In image classification of deep learning, adversarial examples where inp...
research
∙
02/23/2019
A visual encoding model based on deep neural networks and transfer learning
Background: Building visual encoding models to accurately predict visual...
research
∙
12/22/2018
Dissociable neural representations of adversarially perturbed images in deep neural networks and the human brain
Despite the remarkable similarities between deep neural networks (DNN) a...
research
∙
01/16/2018
Constraint-free Natural Image Reconstruction from fMRI Signals Based on Convolutional Neural Network
In recent years, research on decoding brain activity based on functional...
research
∙
01/02/2018
Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture
In neuroscience, all kinds of computation models were designed to answer...
research
∙
07/29/2016