Robust background saliency detection

Author: fkug

August undefined, 2024

WebDec 18, 2014 · Detection of salient objects from images is gaining increasing research interest in recent years as it can substantially facilitate a wide range of content-based multimedia applications. Based on the assumption that foreground salient regions are distinctive within a certain context, most conventional approaches rely on a number of … WebWe propose a highly efficient, yet powerful, salient object detection method based on a fast Minimum Barrier Distance Transform algorithm. Our salient object detection method (MB) achieves state-of-the-art performance and runs at about 80 FPS using a single thread.

Robust road detection from a single image (2016) Junkang …

WebResults show that when using the appropriate parameter of mapping function, the saliency-aware approach achieves the best performance improvement by 5.41%. Currently, visual saliency detection has been discovered and widely applied in the field of computer vision and image processing. Recent works have shown that considering human visual system … memes about grilling

Robust pixelwise saliency detection via progressive graph …

WebJun 7, 2024 · Credible seed selection of the background and foreground-oriented cues is crucial to the success of saliency detection. In this work, a robust salient object detection system is designed to deal with and conquer the above bottleneck. WebDec 19, 2024 · Complementary to foreground saliency, background saliency aims to extract regions that are different from background in feature distribution. We first select a set of … WebSep 1, 2024 · Salient object detection is getting more and more attention in computer vision field. In this paper, we propose a novel and effective framework for salient object detection. Firstly, we develop... memes about going back to work

Robust seed selection of foreground and background …

visionxiang/awesome-co-saliency-detection - Github

WebDec 7, 2024 · When the saliency object appears on the image boundaries, the detection can be more accurate via dense reconstruction. In addition, if there is complex background in natural scene image, the sparse reconstruction can be more robust and suppress the background effectively. WebJun 28, 2014 · Saliency Optimization from Robust Background Detection. Abstract: Recent progresses in salient object detection have exploited the boundary prior, or background … memes about healthy lifestyleWebSalient object perception is the process of sensing the salient information from the spatio-temporal visual scenes, which is a rapid pre-attention mechanism for the target location in a visual smart sensor. In recent decades, many successful models of visual saliency perception have been proposed to simulate the pre-attention behavior. Since most of the … memes about group projects

"WebDec 27, 2024 · In saliency detection, significant objects or regions are determined and distinguished from the background, as shown in the second row in Figure 1. Figure 1 Salient object or region. Generally, the process includes two steps: object location, accurate location is premise, and segment object or region. " - Robust background saliency detection

Robust background saliency detection

Saliency Prediction for Mobile User Interfaces - arXiv

WebJul 27, 2024 · Robust saliency detection via corner information and an En Input: An image and required parameters 1: Segment the input image into superpixels as nodes; calculate W and D; 2: Pre-process background cues and acquire the background saliency map with ; WebMar 1, 2024 · Saliency detection contributes much to image redundancy removal, detection, and recognition, because it can quickly identify the important contents in an image, …

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WebOct 8, 2024 · Therefore, in this paper, a robust saliency-based image watermarking method is proposed to achieve high payload and high quality watermarked image. First, an enhanced salient object model is proposed to produce a saliency map, followed by a binary mask to segments the foreground/background region of a host image. WebNov 29, 2024 · In order to make the saliency detection achieve better results, this paper proposes an algorithm that combines the global cue with the robust background prior …

WebSep 2, 2015 · Purpose – Fabric defect detection plays an important role in textile quality control. The purpose of this paper is to propose a fabric defect detection algorithm via context-based local texture saliency analysis. Design/methodology/approach – In the proposed algorithm, a target image is first divided into blocks, then the Local Binary … WebAwesome Co-Saliency Detection A curated collection of co-saliency detection, including co-salient object detection, which will be kept updated. Update 2024-12. Content Co-salient Object Detection RGB-D Co-salient Object Detection Co-salient Object Detection Preprints 2024 2024 2024 2024 Before RGB-D Co-salient Object Detection

WebSaliency detection with minimum barrier detection: Saliency detection with robust background detection: Saliency detection with frequency-tuned method: License … WebJun 2, 2024 · Figure 3: The effect of using different saliency detection methods in the proposed data augmentation on (a) CIFAR10 and (b) Tiny-ImageNet classification tasks. Different ways of selection and mixing of the source patch with the target image and their effects on (c) CIFAR 10 and (d) Tiny-ImageNet classification tasks. Performance is …

Webusing Composite Saliency Indicator (CSI) in [3]. In [6], Ma and Zhang proposed another VA model only using spatial color contrast as the attention cue for simplicity. In this paper, we (i) propose the use of texture as an ad-ditional cue for salient region detection and (ii) develop a robust feature combination strategy that suppresses regions

WebOct 11, 2024 · Saliency detection via graph-based manifold ranking; W. Zhu et al. Saliency optimization from robust background detection; C. Li et al. Robust saliency detection via regularized random walks ranking; X. Shen et al. A unified approach to salient object detection via low rank matrix recovery; C. Lang et al. Saliency detection by multitask ... memes about harry potterWebAug 28, 2024 · We propose an affinity-based robust background subtraction technique and maximum attention map using a pre-trained convolution neural network. This affinity-based technique uses pixel similarities to propagate the values of salient pixels among foreground and background regions and their union. memes about hamburgersWebSaliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images memes about hating lifeWebApr 14, 2024 · The rapidly growing number of space activities is generating numerous space debris, which greatly threatens the safety of space operations. Therefore, space-based … memes about hard workWebMay 1, 2024 · bib0001 S. Kim, J. Lee, Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track, Pattern Recognit., 43 (2012) 393-406. Google Scholar Digital Library; bib0002 H. Deng, Y. Wei, M. Tong, Small target detection based on weighted self-information map, Infrared Phys. … memes about group chatsWebThis is the Code publication for the paper [1]: Nguyen, Dax et al: DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision (NeurIPS 2024) This work uses datasets, networks and pseudolabels supplied by traditional machine learning methods from past research in the CV community. memes about gray hairWebJul 3, 2024 · Saliency detection is a technique for automatically extracting regions of interest from the background and has been widely used in the computer vision field. This study proposes a simple and effective saliency detection method combining color contrast and hash fingerprint. In our solution, the input image is segmented into nonoverlapping … memes about good people