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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 This paper identifies and addresses a serious design bias of existing salient object detection (SOD) datasets, which unrealistically assume that each image should contain at least one clear and uncluttered salient object. This design bias has led to a saturation in performance for state-of-the-art SOD models when evaluated on existing datasets. However,
Deng-Ping Fan +4 more
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Global Context-Aware Progressive Aggregation Network for Salient Object Detection [PDF]
AAAI Conference on Artificial Intelligence, 2020 Deep convolutional neural networks have achieved competitive performance in salient object detection, in which how to learn effective and comprehensive features plays a critical role.
Zuyao Chen +3 more
semanticscholar +1 more source
Deeply Supervised Salient Object Detection with Short Connections [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 Recent progress on salient object detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs). Semantic segmentation and salient object detection algorithms developed lately have been mostly based on
Qibin Hou +5 more
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Salient Preprocessing: Robotic ICP Pose Estimation Based on SIFT Features
Machines, 2023 The pose estimation can be effectively solved according to the feature point matching relationship in RGB-D. However, the extraction and matching process based on the whole image’s feature point is very computationally intensive and lacks robustness ...
Lihe Hu +4 more
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EGNet: Edge Guidance Network for Salient Object Detection [PDF]
IEEE International Conference on Computer Vision, 2019 Fully convolutional neural networks (FCNs) have shown their advantages in the salient object detection task. However, most existing FCNs-based methods still suffer from coarse object boundaries.
Jiaxing Zhao +5 more
semanticscholar +1 more source
Salient Regions for Query by Image Content [PDF]
, 2004 Much previous work on image retrieval has used global features such as colour and texture to describe the content of the image. However, these global features are insufficient to accurately describe the image content when different parts of the image ...
Jonathon Hare, Paul Lewis
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Efficient Modeling of Complex Sandy Coastal Evolution at Monthly to Century Time Scales
Frontiers in Marine Science, 2020 With large-scale human interventions and climate change unfolding as they are now, coastal changes at decadal timescales are not limited to incremental modifications of systems that are fixed in their general geometry, but often show significant changes ...
Dano Roelvink +9 more
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Frontiers in Psychology, 2022 Punning is an important means of creating humorous effects by intentionally exploiting semantic ambiguity. Previous psycholinguistic research on puns has mainly focused on the process of meaning retrieval in homograph puns, while it is still not entirely
Wei Zheng +3 more
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Sensors, 2020 The main factors influencing the shape of the beach, shoreline and seabed include undulation, wind and coastal currents. These phenomena cause continuous and multidimensional changes in the shape of the seabed and the Earth’s surface, and when they occur
Pawel Burdziakowski +5 more
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A Simple Pooling-Based Design for Real-Time Salient Object Detection [PDF]
Computer Vision and Pattern Recognition, 2019 We solve the problem of salient object detection by investigating how to expand the role of pooling in convolutional neural networks. Based on the U-shape architecture, we first build a global guidance module (GGM) upon the bottom-up pathway, aiming at ...
Jiangjiang Liu +4 more
semanticscholar +1 more source