关键词: 场景识别, 深度学习, 视觉词袋, 显著目标, 多层特征融合, 语义关系

Abstract:

With the rapid development of deep learning, the scene recognition method based on deep learning gradually replaces the traditional scene recognition method based on manual features, and becomes the main research direction in the future. According to the method of scene recognition based on deep learning, this paper summarizes the basic ideas and divides it into four categories： the method of scene recognition based on deep learning and bag of visual words, the method of scene recognition based on salient part, the method of scene recognition based on multi-level feature fusion and the method of scene recognition based on knowledge representation. The characteristics and limitations of each method are analyzed, and the recognition effect is compared. Finally, the future research direction is prospected.

Key words: scene recognition, deep learning, bag-of-visual-words, salient object, multi-layer feature fusion, semantic relation