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Found 9 papers, 4 papers with code
Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation
This work also introduces the use of Finite Volume Features (FVF) in the graph convolutions as node and edge attributes, enabling its message-passing operations to adjust to different nodes.
Improving Hand Recognition in Uncontrolled and Uncooperative Environments using Multiple Spatial Transformers and Loss Functions
However, their performance deteriorates significantly in uncontrolled and uncooperative environments.
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
Accurate segmentation of organs or lesions from medical images is crucial for reliable diagnosis of diseases and organ morphometry.
Gender and Ethnicity Classification based on Palmprint and Palmar Hand Images from Uncontrolled Environment
Five deep learning models are fine-tuned and evaluated in gender and ethnicity classification scenarios based on palmar 1) full hand, 2) segmented hand and 3) palmprint images.
Palmprint Recognition in Uncontrolled and Uncooperative Environment
To study palmprint identification on images collected in uncontrolled and uncooperative environment, a new palmprint database is established and an end-to-end deep learning algorithm is proposed.
A Study on Wrist Identification for Forensic Investigation
Criminal and victim identification based on crime scene images is an important part of forensic investigation.
Giant Panda Face Recognition Using Small Dataset
Cameras have been widely installed in the regions where pandas live.
Using Object Information for Spotting Text
Experimental results on three benchmark datasets with clutter backgrounds, COCO-Text, MSRA-TD500 and SVT show that the proposed algorithm provides comparable performance to state-of-the-art text spotting methods.
A Constrained Deep Neural Network for Ordinal Regression
An implementation based on the CNN framework is proposed to solve the problem such that high-level features can be extracted automatically, and the optimal solution can be learned through the traditional back-propagation method.
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