Results 21 to 30 of about 7,362,198 (297)
Learning Deconvolution Network for Semantic Segmentation [PDF]
We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the convolutional layers adopted from VGG 16-layer net.
Hyeonwoo Noh +2 more
semanticscholar +1 more source
Sentence Representation Method Based on Multi-Layer Semantic Network
With the development of artificial intelligence, more and more people hope that computers can understand human language through natural language technology, learn to think like human beings, and finally replace human beings to complete the highly ...
Wenfeng Zheng, Xiangjun Liu, Lirong Yin
semanticscholar +1 more source
Idea generation with Technology Semantic Network
There are growing efforts to mine public and common-sense semantic network databases for engineering design ideation stimuli. However, there is still a lack of design ideation aids based on semantic network databases that are specialized in engineering ...
Serhad Sarica +3 more
semanticscholar +1 more source
General and feature-based semantic representations in the semantic network. [PDF]
How semantic representations are manifest over the brain remains a topic of active debate. A semantic representation may be determined by specific semantic features (e.g.
Liuzzi AG, Aglinskas A, Fairhall SL.
europepmc +2 more sources
Pyramidal Semantic Correspondence Networks [PDF]
This paper presents a deep architecture, called pyramidal semantic correspondence networks (PSCNet), that estimates locally-varying affine transformation fields across semantically similar images. To deal with large appearance and shape variations that commonly exist among different instances within the same object category, we leverage a pyramidal ...
Sangryul Jeon +3 more
openaire +2 more sources
Flexible Semantic Network Structure Supports the Production of Creative Metaphor
Metaphors are a common way to express creative language, yet the cognitive basis of figurative language production remains poorly understood. Previous studies found that higher creative individuals can better comprehend novel metaphors, potentially due ...
Yangping Li +3 more
semanticscholar +1 more source
Socio-semantic networks as mutualistic networks [PDF]
AbstractSeveral studies have shown that discourse and social relationships are intertwined and co-evolve. However, we lack theoretical models to explain the phenomenon. Inspired by recent work in ecology, we propose to model socio-semantic networks as an interaction between two intermingled data generating processes: a social community process and a ...
Jonathan St-Onge +3 more
openaire +3 more sources
This is a retracted article, whose corrected version, bearing the same title, is available under the DOI: https://doi.org/10.11649/cs.2910. Following the authors' request, the incorrect spelling of the name of one of them (Hussein → Hossein) and the ...
Armin Ehsani +2 more
doaj +1 more source
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation [PDF]
Semantic segmentation requires both rich spatial information and sizeable receptive field. However, modern approaches usually compromise spatial resolution to achieve real-time inference speed, which leads to poor performance.
Changqian Yu +5 more
semanticscholar +1 more source
Semantic Representation of the Intersection of Criminal Law & Civil Tort
The more complex and globalized social structures become, the greater the need for new ways of exchanging information and knowledge. Legal science is a field that needs to be codified to allow the interoperability between people and states, as well as ...
Alexandros Z. Spyropoulos +5 more
doaj +1 more source

