High-level features for resource economy and fast learning in skill transfer
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Robotics"
DOI: 10.1080/01691864.2021.2019613
Abstract: Abstraction is an important aspect of intelligence which enables agents to construct robust representations for effective and efficient decision making. Although, deep neural networks are proven to be effective learning systems due to their ability… read more here.
Keywords: skill; skill transfer; task; level features ... See more keywords
MGPLI: exploring multigranular representations for protein-ligand interaction prediction
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac597
Abstract: MOTIVATION The capability to predict the potential drug binding affinity against a protein target has always been a fundamental challenge in-silico drug discovery. The traditional experiments in vitro and in vivo are costly and time-consuming… read more here.
Keywords: interaction; prediction; level features; ligand interaction ... See more keywords
SPANet: Successive Pooling Attention Network for Semantic Segmentation of Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3175191
Abstract: In the convolutional neural network, the precise segmentation of small-scale objects and object boundaries in remote sensing images is a great challenge. As the model gets deeper, low-level features with geometric information and high-level features… read more here.
Keywords: remote sensing; successive pooling; level; segmentation ... See more keywords
Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3235717
Abstract: Recently, relying on convolutional neural networks (CNNs), many methods for salient object detection in optical remote-sensing images (ORSI-SOD) are proposed. However, most methods ignore the number of parameters and computational cost brought by CNNs, and… read more here.
Keywords: remote sensing; salient object; level; semantic matching ... See more keywords
SFA-Net: Scale and Feature Aggregate Network for Retinal Vessel Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/4695136
Abstract: A U-Net-based network has achieved competitive performance in retinal vessel segmentation. Previous work has focused on using multilevel high-level features to improve segmentation accuracy but has ignored the importance of shallow-level features. In addition, multiple… read more here.
Keywords: network; feature aggregate; feature; level features ... See more keywords
Violence detection in surveillance video using low-level features
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0203668
Abstract: It is very important to automatically detect violent behaviors in video surveillance scenarios, for instance, railway stations, gymnasiums and psychiatric centers. However, the previous detection methods usually extract descriptors around the spatiotemporal interesting points or… read more here.
Keywords: video; detection; surveillance; level ... See more keywords
Multi-Perspective Feature Extraction and Fusion Based on Deep Latent Space for Diagnosis of Alzheimer’s Diseases
Sign Up to like & getrecommendations! Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12101348
Abstract: Resting-state functional magnetic resonance imaging (rs-fMRI) has been used to construct functional connectivity (FC) in the brain for the diagnosis and analysis of brain disease. Current studies typically use the Pearson correlation coefficient to construct… read more here.
Keywords: diagnosis; brain; latent space; level features ... See more keywords
MFAN: Multi-Level Features Attention Network for Fake Certificate Image Detection
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24010118
Abstract: Up to now, most of the forensics methods have attached more attention to natural content images. To expand the application of image forensics technology, forgery detection for certificate images that can directly represent people’s rights… read more here.
Keywords: multi level; level; attention; network ... See more keywords