Results 61 to 70 of about 622,575 (227)
Salient Object Detection via Recursive Sparse Representation
Remote Sensing, 2018 Object-level saliency detection is an attractive research field which is useful for many content-based computer vision and remote-sensing tasks. This paper introduces an efficient unsupervised approach to salient object detection from the perspective of ...
Yongjun Zhang +3 more
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Multiscale Balanced-Attention Interactive Network for Salient Object Detection
Mathematics, 2022 The purpose of saliency detection is to detect significant regions in the image. Great progress on salient object detection has been made using from deep-learning frameworks.
Haiyan Yang, Rui Chen, Dexiang Deng
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Residual dense collaborative network for salient object detection
IET Image Processing, 2023 Owing to the renaissance of deep convolutional neural networks (CNN), salient object detection based on fully convolutional neural networks (FCNs) has attracted widespread attention.
Yibo Han +4 more
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IET Image Processing, 2022 This paper proposes a multiple salient region detection and localization approach for unstructured industrial robot work environments with arbitrarily located and orientated objects.
Sudipta Bhuyan, Debashis Sen, Sankha Deb
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Learning to Detect Instance-level Salient Objects Using Complementary Image Labels [PDF]
arXiv, 2021 Existing salient instance detection (SID) methods typically learn from pixel-level annotated datasets. In this paper, we present the first weakly-supervised approach to the SID problem. Although weak supervision has been considered in general saliency detection, it is mainly based on using class labels for object localization.
arxiv
Weakly Supervised Learning for Salient Object Detection [PDF]
arXiv, 2015 Recent advances in supervised salient object detection has resulted in significant performance on benchmark datasets. Training such models, however, requires expensive pixel-wise annotations of salient objects. Moreover, many existing salient object detection models assume that at least one salient object exists in the input image.
arxiv
Progressive Self-Guided Loss for Salient Object Detection [PDF]
arXiv, 2021 We present a simple yet effective progressive self-guided loss function to facilitate deep learning-based salient object detection (SOD) in images. The saliency maps produced by the most relevant works still suffer from incomplete predictions due to the internal complexity of salient objects.
arxiv
Robust detection and refinement of saliency identification
Scientific ReportsSalient object detection is an increasingly popular topic in the computer vision field, particularly for images with complex backgrounds and diverse object parts. Background information is an essential factor in detecting salient objects.
Abram W. Makram +3 more
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Instance-Level Salient Object Segmentation [PDF]
arXiv, 2017 Image saliency detection has recently witnessed rapid progress due to deep convolutional neural networks. However, none of the existing methods is able to identify object instances in the detected salient regions. In this paper, we present a salient instance segmentation method that produces a saliency mask with distinct object instance labels for an ...
arxiv
What is a salient object? A dataset and a baseline model for salient object detection [PDF]
, 2014 Salient object detection or salient region detection models, diverging from fixation prediction models, have traditionally been dealing with locating and segmenting the most salient object or region in a scene. While the notion of most salient object is sensible when multiple objects exist in a scene, current datasets for evaluation of saliency ...
arxiv +1 more source