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04/18/2023
Accuracy of Segment-Anything Model (SAM) in medical image segmentation tasks
The segment-anything model (SAM), was introduced as a fundamental model ...
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04/03/2023
U-Netmer: U-Net meets Transformer for medical image segmentation
The combination of the U-Net based deep learning models and Transformer ...
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12/19/2022
Segmentation Ability Map: Interpret deep features for medical image segmentation
Deep convolutional neural networks (CNNs) have been widely used for medi...
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06/06/2022
WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images
Stereo matching of high-resolution satellite images (HRSI) is still a fu...
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04/13/2022
Deep Relation Learning for Regression and Its Application to Brain Age Estimation
Most deep learning models for temporal regression directly output the es...
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04/11/2021
GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer Identification
This paper presents an end-to-end neural network system to identify writ...
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03/16/2020
FragNet: Writer Identification using Deep Fragment Networks
Writer identification based on a small amount of text is a challenging p...
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02/20/2020
Brain Age Estimation Using LSTM on Children's Brain MRI
Brain age prediction based on children's brain MRI is an important bioma...
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01/27/2019
6D Object Pose Estimation Based on 2D Bounding Box
In this paper, we present a simple but powerful method to tackle the pro...
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01/18/2019
DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning
This paper presents a novel iterative deep learning framework and apply ...
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09/28/2018
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images
There are two types of information in each handwritten word image: expli...
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08/27/2018
