Abstract. A new architecture, denoted spatial pyramid matching on the semantic manifold (SPMSM), is proposed for scene recognition. SPMSM.
A new architecture, denoted spatial pyramid matching on the semantic manifold (SPMSM), is proposed for scene recognition. SPMSM is based on a recent image ...
A new architecture, denoted spatial pyramid matching on the semantic manifold (SPMSM), is proposed for scene recognition. SPMSM is based on a recent image ...
This paper presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the ...
Patch theme models are learned resorting to weak supervision via image labels, which leads the problem of scene categories co-occurring in this semantic space.
Joint Multi-feature Spatial Context for Scene Recognition in the Semantic ... the semantic simplex is described as a semantic manifold. (SM). This approach ...
Multi-Scale Multi-Feature Context Modeling for Scene Recognition in ...
pubmed.ncbi.nlm.nih.gov › ...
One of such approaches is the semantic manifold (SM), in which patches and images are modeled as points in a semantic probability simplex. Patch models are ...
People also ask
What is semantic scene classification?
What is scene recognition?
What is semantic scene completion?
What is semantic scene understanding?
Scene Recognition by Manifold Regularized Deep Learning ...
ieeexplore.ieee.org › abstract › document
Jan 22, 2015 · Semantic modeling is a popular technique used to fill the semantic gap in scene recognition. However, most of the semantic modeling approaches ...
Joint Multi-feature Spatial Context for Scene Recognition in the Semantic Manifold. Xinhang Song, Shuqiang Jiang, Luis Herranz. Key Laboratory of Intelligent ...
One of such approaches is the semantic manifold (SM), in which patches and images are modeled as points in a semantic probability simplex. Patch models are ...