salient object
3D estimation of a salient object
... a salient object is analyzed and there are two possible error source why the 3D estimation of a salient object does not ...red object is. The salient places have the size of a ...
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Salient object detection employing robust sparse representation and local consistency
... [19], but in recent years, they are extended to salient object detection [21, 29]. The common observation is that these methods tend to produce higher saliency values near the edges instead of uniformly ...
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Deep salient object detection with contextual information guidance
... Abstract—Integration of multi-level contextual information, such as feature maps and side outputs, is crucial for Convo- lutional Neural Networks (CNNs) based salient object detection. However, most ...
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SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection
... Recent years, deep learning has attracted a lot of at- tention for its outstanding performance in computer vision tasks. Based on the supervision of thousands of pixel-level saliency map annotations, the deep learning ...
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Background prior-based salient object detection via deep reconstruction residual
... B. Saliency Detection via Deep Reconstruction Residual As we mentioned in Section I, local and global contrast-based methods lack the ability to precisely compute the contrast between foreground objects and the ...
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A new efficient active contour model without local initializations for salient object detection
... of salient object detection. Moreover, we can see that the salient objects in each image are efficiently detected using the polarity-based active contour, despite of the global and easy ...
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RGB T salient object detection via fusing multi level CNN features
... Abstract—RGB-induced salient object detection has recently witnessed substantial progress, which is attributed to the su- perior feature learning capability of deep convolutional neural networks ...modal ...
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Salient Object Detection in Videos Based on SPATIO Temporal Saliency Maps and Colour Features U Swamy Kumar & Smt G Hemalatha
... the object of ...for salient object ...being salient, the saliency map can also be utilized for identifying most salient regions for different tasks, for example placing an ...
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Deep Embedding Features for Salient Object Detection
... Recently, deep convolutional neural networks (CNNs) have delivered superior performance in many recognition tasks (Krizhevsky, Sutskever, and Hinton 2012; He et al. 2016). In earlier research (Wang et al. 2015; Li and Yu ...
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Salient Object Detection via Combining Duplex Features
... The salient object detection is to mark the most attractive objects of the image that contain richest ...The salient object detection has been applied in the fields of image segmentation [1], ...
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Salient Object Detection Via Two Stage Graphs
... based salient object detection method, in which two graphs having the same nodes but different edges are employed, as illustrated in Fig. 1(c). In the first-stage graph, which is analogous to most of ...
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Salient Object Detection via Structured Matrix Decomposition
... sparse salient part ...the salient part deviating from the low-rank subspace can be viewed as noise or errors, which are represented by a sparse sensory ...the salient foreground objects. ...
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A Unified Model for Salient Object Detection
... Spatial histogram features for face detection in color images. In Pacific-Rim Conference[r] ...
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Semantic Segmentation and Object Detection Based On Active Contour Model and Fuzzy Clustering
... The images with objects Car, Chair, and Flower are outdoor scenes while the other images are indoor scenes. For example, as Table 4.8 shows, because of the texture score of 0.22 for Image Computer (less than the ...
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Color plus depth 3-D video transmission with hierarchical 16-QAM
... Chae The Australian National University, Australia; Rodney Andrew Kennedy The Australian National University, Australia Phase-Based Salient Object Detection Jia Wan the Hong Kong Polytec[r] ...
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AUTOMATED IMAGE RETARGETTING AND CROPPING USING SALIENCY DETECTION AUTOMATIC CONTEXT AWARE CROPPING
... The original image in [17] (a) is cropped and is shown in sub-figures (e) to (l). This figure is another example of a limitation in this study, it is not appropriate to be used in this case by the user. Again the most ...
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Salience: The Key to the Selection Problem in Natural Language Generation
... The Current-Item register contains the object currently in focus and hence the most salient object which has not previously been mentioned, and the Main-Item register points to the data [r] ...
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RGB D Scene Representations for Prosthetic Vision
... as object placement and ...structurally salient regions with high accuracy compared to ex- isting depth contrast ...a salient object detection system, our method produced better results than ...
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Salient Region Filtering For Background Subtraction
... selected salient regions to use, S, and the percentile setting for the FDT calculation, a range of k and S combinations was used for clustering and the FDT estimated at each percentile from 50 to 100 in steps of ...
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Detection of Complex Salient Regions
... complex salient regions with the state-of-the-art keypoint ...novel salient regions in real video sequences, being potentially useful for matching, image retrieval, and object categorization ...
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