[PDF] Top 20 A Unified Model for Salient Object Detection
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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] ... See full document
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Background prior-based salient object detection via deep reconstruction residual
... saliency detection. The earliest saliency computation model by Itti et ...saliency detection by using independent component analysis (ICA) [8], sparse coding [9, 10], and low-rank matrix recovery ... See full document
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Deep salient object detection with contextual information guidance
... Earlier salient object detection methods mainly compute saliency based on hand-crafted features [7]–[14], ...saliency detection and have achieved substantial improve- ments due to their ... See full document
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SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection
... saliency detection has recently witnessed rapid progress due to deep neural ...novel salient object detection framework using a superpixel- wise variational autoencoder (SuperVAE) ...to ... See full document
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Salient object detection employing robust sparse representation and local consistency
... based salient object detection methods have been presented in the past few ...SR model with a robust sparse representation (RSR) model, for salient object ... See full document
31
Semantic Segmentation and Object Detection Based On Active Contour Model and Fuzzy Clustering
... the salient and coherent regions that semantically belong to different ...and object detection play the essential role toward the image understanding, and they are still considered as the open ... See full document
128
Salient Object Detection via Structured Matrix Decomposition
... Many saliency models have been proposed to compute the saliency map of a given image and detect the salient ob- jects. Depending on whether prior knowledge is used or not, current models fall into two categories: ... See full document
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A unified framework for spatiotemporal salient region detection
... It is important to note the differences from the afore- mentioned HOAOF. First, we use one additional bin with i = 0 which incorporate all pixels that the flow magni- tude is lower than a preset threshold. For instance, ... See full document
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RGB T salient object detection via fusing multi level CNN features
... images salient object ...saliency detection performance can be obtained. As discussed in [57], some salient features from individual single- modal image may be easily drowned in the ... See full document
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An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression
... YOLOv2 model was designed for object de- tection, modifying the first convolutional layer might affect the performance of object ...of detection accuracy over the VOC and COCO data ... See full document
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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 ... See full document
197
Detection of Complex Salient Regions
... Visual saliency [1] is a broad term that refers to the idea that certain parts of a scene are preattentively distinctive and create some form of immediate significant visual arousal within the early stages of the human ... See full document
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A Robust Approach to Segment Desired Object Based on Salient Colors
... desired object is taken as a reference ...the object is, the better the results ...desired object during the sequence, will be improved if the segmentation re- sult is not too sensitive and ...The ... See full document
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Video salient region detection model based on wavelet transform and feature comparison
... Figure 9 column “original video frame” shows the ori- ginal video frames of the long-distance running, the bad- minton playing, the long jumping, and the pole vaulting, respectively. Image patches in Fig. 9 column “STI” ... See full document
10
Deep Embedding Features for Salient Object Detection
... locate salient regions and refine the sparse details ...refinement model with a pyramid pooling to extract global context information and local details for salient object de- ...for ... See full document
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A new efficient active contour model without local initializations for salient object detection
... the object edges and then the stopping function can be relatively far from zero on the edges, and the curve may pass through the ...contour model of [17] has two ... See full document
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Salient Object Detection Via Two Stage Graphs
... in salient object detection using graph theory, the approach still suffers from accuracy problems when the image is characterized by a complex structure, either in the foreground or background, ... See full document
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MOVING OBJECT DETECTION WITH BACKGROUND MODEL
... Then used two algorithms for on-line prediction based on a linear model. The algorithms are the well-known gradient descent (GD) algorithm and a new algorithm, which we call EG\. They both maintain a weight vector ... See full document
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Adaptive Feature Fusion Object Tracking with Kernelized Correlation Filters
... the object scale pool, the change of the object scale is ...the object size is solved, but the scale pool is limited and is not sensitive to the change of object ...of object scale by ... See full document
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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] ... See full document
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