AIMC Topic: Semantics

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Cross-modal distribution alignment embedding network for generalized zero-shot learning.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2022
Many approaches in generalized zero-shot learning (GZSL) rely on cross-modal mapping between the image feature space and the class embedding space, which achieves knowledge transfer from seen to unseen classes. However, these two spaces are completel...
Semantics Learning Semantic Web Knowledge Machine Learning
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Knowledge Graph Based Hard Drive Failure Prediction.

Sensors (Basel, Switzerland) Jan 27, 2022
The hard drive is one of the important components of a computing system, and its failure can lead to both system failure and data loss. Therefore, the reliability of a hard drive is very important. Realising this importance, a number of studies have ...
Pattern Recognition, Automated Reproducibility of Results Machine Learning Knowledge Semantics
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Instance segmentation convolutional neural network based on multi-scale attention mechanism.

PloS one Jan 27, 2022
Instance segmentation is more challenging and difficult than object detection and semantic segmentation. It paves the way for the realization of a complete scene understanding, and has been widely used in robotics, automatic driving, medical care, an...
Semantics Software Models, Theoretical Neural Networks, Computer
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Towards Semantic Photogrammetry: Generating Semantically Rich Point Clouds from Architectural Close-Range Photogrammetry.

Sensors (Basel, Switzerland) Jan 26, 2022
Developments in the field of artificial intelligence have made great strides in the field of automatic semantic segmentation, both in the 2D (image) and 3D spaces. Within the context of 3D recording technology it has also seen application in several ...
Workflow Photogrammetry Artificial Intelligence Semantics Neural Networks, Computer
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MAFF-Net: Multi-Attention Guided Feature Fusion Network for Change Detection in Remote Sensing Images.

Sensors (Basel, Switzerland) Jan 24, 2022
One of the most important tasks in remote sensing image analysis is remote sensing image Change Detection (CD), and CD is the key to helping people obtain more accurate information about changes on the Earth's surface. A Multi-Attention Guided Featur...
MafF Transcription Factor Remote Sensing Technology Semantics Nuclear Proteins Neural Networks, Computer Humans Image Processing, Computer-Assisted
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Weakly supervised segmentation with cross-modality equivariant constraints.

Medical image analysis Jan 23, 2022
Weakly supervised learning has emerged as an appealing alternative to alleviate the need for large labeled datasets in semantic segmentation. Most current approaches exploit class activation maps (CAMs), which can be generated from image-level annota...
Semantics Image Processing, Computer-Assisted Supervised Machine Learning Prostate Neural Networks, Computer Male Humans
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Sub-micro scale cell segmentation using deep learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Jan 21, 2022
Automated cell segmentation is key for rapid and accurate investigation of cell responses. As instrumentation resolving power increases, clear delineation of newly revealed cellular features at the submicron through nanoscale becomes important. Relia...
Neural Networks, Computer Image Processing, Computer-Assisted Semantics Deep Learning Algorithms
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Intelligent Question Answering System by Deep Convolutional Neural Network in Finance and Economics Teaching.

Computational intelligence and neuroscience Jan 21, 2022
The question answering link in the traditional teaching method is analyzed to optimize the shortcomings and deficiencies of the existing question-and-answer (Q&A) machines and solve the problems of financial students' difficulty in answering question...
Humans Neural Networks, Computer Intelligence Semantics Language Algorithms
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Fast Panoptic Segmentation with Soft Attention Embeddings.

Sensors (Basel, Switzerland) Jan 20, 2022
Panoptic segmentation provides a rich 2D environment representation by unifying semantic and instance segmentation. Most current state-of-the-art panoptic segmentation methods are built upon two-stage detectors and are not suitable for real-time appl...
Image Processing, Computer-Assisted Attention Robotics Automobile Driving Semantics
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Colon tissue image segmentation with MWSI-NET.

Medical & biological engineering & computing Jan 19, 2022
Developments in deep learning have resulted in computer-aided diagnosis for many types of cancer. Previously, pathologists manually performed the labeling work in the analysis of colon tissues, which is both time-consuming and labor-intensive. Result...
Semantics Image Processing, Computer-Assisted Neural Networks, Computer Colon Algorithms
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