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In this paper we explore two ways of using context for object detection.
On the semantics of a glance at a scene
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Exploiting hierarchical context on a large database of object categories
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The PASCAL Visual Object Classes (VOC) Challenge
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Object detection with discriminatively trained part based models
P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan · 2010
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Harmony potentials for joint classification and segmentation
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B. Yao and L. Fei-Fei · 2010
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Extracting adaptive contextual cues from unlabeled regions
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The role of context for object detection and semantic segmentation in the wild
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Object detection via a multi-region & semantic segmentation-aware cnn model
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R. Girshick · 2015
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