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Semantics

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Fast Panoptic Segmentation with Soft Attention Embeddings.

Sensors (Basel, Switzerland)
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...

Colon tissue image segmentation with MWSI-NET.

Medical & biological engineering & computing
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...

Multichannel Two-Dimensional Convolutional Neural Network Based on Interactive Features and Group Strategy for Chinese Sentiment Analysis.

Sensors (Basel, Switzerland)
In Chinese sentiment analysis tasks, many existing methods tend to use recurrent neural networks (e.g., long short-term memory networks and gated recurrent units) and standard one-dimensional convolutional neural networks (1D-CNN) to extract features...

Neural Collaborative Filtering with Ontologies for Integrated Recommendation Systems.

Sensors (Basel, Switzerland)
Machine learning (ML) and especially deep learning (DL) with neural networks have demonstrated an amazing success in all sorts of AI problems, from computer vision to game playing, from natural language processing to speech and image recognition. In ...

Intelligent Semantic Segmentation for Self-Driving Vehicles Using Deep Learning.

Computational intelligence and neuroscience
Understanding the situation is a critical component of any self-driving system. Accurate real-time visual signal processing to create pixelwise classed pictures, also known as semantic segmentation, is critical for scenario comprehension and subseque...

Data-Driven Construction Safety Information Sharing System Based on Linked Data, Ontologies, and Knowledge Graph Technologies.

International journal of environmental research and public health
Accident, injury, and fatality rates remain disproportionately high in the construction industry. Information from past mishaps provides an opportunity to acquire insights, gather lessons learned, and systematically improve safety outcomes. Advances ...

Image Hallucination From Attribute Pairs.

IEEE transactions on cybernetics
Recent image-generation methods have demonstrated that realistic images can be produced from captions. Despite the promising results achieved, existing caption-based generation methods confront a dilemma. On the one hand, the image generator should b...

Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations.

The journal of pathology. Clinical research
Recent advances in whole-slide imaging (WSI) technology have led to the development of a myriad of computer vision and artificial intelligence-based diagnostic, prognostic, and predictive algorithms. Computational Pathology (CPath) offers an integrat...

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition.

IEEE transactions on pattern analysis and machine intelligence
The click feature of an image, defined as the user click frequency vector of the image on a predefined word vocabulary, is known to effectively reduce the semantic gap for fine-grained image recognition. Unfortunately, user click frequency data are u...

End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach.

Journal of biomedical semantics
BACKGROUND: The advancement of science and technologies play an immense role in the way scientific experiments are being conducted. Understanding how experiments are performed and how results are derived has become significantly more complex with the...