Sep 30, 2020 · This paper presents two proposal refinement strategies based on low-level cues and context-dependent features, respectively. The low-level cues ...
[PDF] Context-Dependent Object Proposal and Recognition ...
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Context-Dependent Object Proposal and Recognition · Ray-I Chang, C. Ting, +1 author. Peng-Yeng Yin · Published in Symmetry 30 September 2020 · Computer Science.
Jul 4, 2024 · This paper presents two proposal refinement strategies based on low-level cues and context-dependent features, respectively. The low-level cues ...
Abstract: Accurate and fast object recognition is crucial in applications such as automatic driving and unmanned aerial vehicles.
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This paper presents two proposal refinement strategies based on low-level cues and context-dependent features, respectively. The low-level cues are used to ...
Publication: Context-Dependent Object Proposal and Recognition ...
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Context-Dependent Object Proposal and Recognition. Ray-I Chang Chao Lung Ting Syuan-Yi Wu Peng-Yeng Yin. Published in: Symmetry (2020). Keyphrases.
This paper presents two proposal refinement strategies based on low-level cues and context-dependent features, respectively. The low-level cues are used to ...
As a rule, humans perceive and are affected by not only the discrete objects and events at the focus of their attention, but also a wide range of factors that ...
What is interesting in this paper is that multipli- cation occurs only between the CF and RF inputs. The proposed processors are ideal for invariant recognition.
Nov 9, 2021 · Our findings show that contextual materials indeed affect object processing—even in the absence of spatial scene structure and object content ...