research
∙
12/28/2022
Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation
The task of image segmentation is to classify each pixel in the image ba...
share
research
∙
12/28/2022
Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels
The deep learning technique was used to increase the performance of sing...
research
∙
03/09/2022
Attention-effective multiple instance learning on weakly stem cell colony segmentation
The detection of induced pluripotent stem cell (iPSC) colonies often nee...
research
∙
12/17/2020
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN
3D Convolutional Neural Network (3D CNN) captures spatial and temporal i...
research
∙
12/02/2020
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding
The dimensionality reduction has been widely introduced to use the high-...
research
∙
11/04/2020
Channel Planting for Deep Neural Networks using Knowledge Distillation
In recent years, deeper and wider neural networks have shown excellent p...
research
∙
11/04/2020
Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
Since the convolutional neural networks are often trained with redundant...
research
∙
09/24/2020
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection
Lung cancer is one of the most deadly diseases in the world. Detecting s...
research
∙
09/16/2020
U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Image
The detection of retinal blood vessels, especially the changes of small ...
research
∙
04/17/2020
Triplet Loss for Knowledge Distillation
In recent years, deep learning has spread rapidly, and deeper, larger mo...
research
∙
04/17/2020
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network
A deep convolutional neural network (CNN) has been widely used in image ...
research
∙
04/09/2020
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
In a deep neural network (DNN), the number of the parameters is usually ...
research
∙
02/19/2020
On-line non-overlapping camera calibration net
We propose an easy-to-use non-overlapping camera calibration method. Fir...
research
∙
06/24/2019
Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network
The deep Convolutional Neural Network (CNN) became very popular as a fun...
research
∙
07/22/2018
Correlation Net : spatio temporal multimodal deep learning
This paper describes a network that is able to capture spatiotemporal co...
research
∙
07/18/2017
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network
We propose a highly efficient and faster Single Image Super-Resolution (...
research
∙
03/28/2017
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting
This paper proposes a crowd counting method. Crowd counting is difficult...
research
∙
11/08/2016