Salient ≈ Salient
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Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Open
Inspired by recent work in machine translation and object detection, we introduce an attention based model that automatically learns to describe the content of images. We describe how we can train this model in a deterministic manner using…
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Attention U-Net: Learning Where to Look for the Pancreas Open
We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes. Models trained with AGs implicitly learn to suppress irrelevant regions in an input image…
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Software update: The <span>ORCA</span> program system—Version 5.0 Open
Version 5.0 of the ORCA quantum chemistry program suite was released in July 2021. ORCA 5.0 represents a major improvement over all previous versions of ORCA and features (1) highly improved performance, (2) increased numerical robustness,…
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Res2Net: A New Multi-Scale Backbone Architecture Open
Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate stronger multi-scale representation ability, leading to con…
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Attention mechanisms in computer vision: A survey Open
Humans can naturally and effectively find salient regions in complex scenes.\nMotivated by this observation, attention mechanisms were introduced into\ncomputer vision with the aim of imitating this aspect of the human visual\nsystem. Such…
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Attention gated networks: Learning to leverage salient regions in medical images Open
We propose a novel attention gate (AG) model for medical image analysis that automatically learns to focus on target structures of varying shapes and sizes. Models trained with AGs implicitly learn to suppress irrelevant regions in an inpu…
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How Technology Is Changing Work and Organizations Open
Given the rapid advances and the increased reliance on technology, the question of how it is changing work and employment is highly salient for scholars of organizational psychology and organizational behavior (OP/OB). This article attempt…
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F³Net: Fusion, Feedback and Focus for Salient Object Detection Open
Most of existing salient object detection models have achieved great progress by aggregating multi-level features extracted from convolutional neural networks. However, because of the different receptive fields of different convolutional l…
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Deep networks for saliency detection via local estimation and global search Open
This paper presents a saliency detection algorithm by integrating both local estimation and global search. In the local estimation stage, we detect local saliency by using a deep neural network (DNN-L) which learns local patch features to …
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Deeply Supervised Salient Object Detection with Short Connections Open
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 …
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Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks Open
The use of RGB-D information for salient object detection (SOD) has been extensively explored in recent years. However, relatively few efforts have been put toward modeling SOD in real-world human activity scenes with RGB-D. In this articl…
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Cultural stereotypes as gatekeepers: increasing girls’ interest in computer science and engineering by diversifying stereotypes Open
Despite having made significant inroads into many traditionally male-dominated fields (e.g., biology, chemistry), women continue to be underrepresented in computer science and engineering. We propose that students' stereotypes about the cu…
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DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection Open
A key problem in salient object detection is how to effectively model the semantic properties of salient objects in a data-driven manner. In this paper, we propose a multi-task deep saliency model based on a fully convolutional neural netw…
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MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion Open
Image decomposition is crucial for many image processing tasks, as it allows to extract salient features from source images. A good image decomposition method could lead to a better performance, especially in image fusion tasks. We propose…
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A Novel Sparse Compositional Technique Reveals Microbial Perturbations Open
By accounting for the sparse compositional nature of microbiome data sets, robust Aitchison PCA can yield high discriminatory power and salient feature ranking between microbial niches. The software to perform this analysis is available un…
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Spatial–Temporal Recurrent Neural Network for Emotion Recognition Open
In this paper, we propose a novel deep learning framework, called spatial-temporal recurrent neural network (STRNN), to integrate the feature learning from both spatial and temporal information of signal sources into a unified spatial-temp…
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A review of recent advances in tribology Open
The reach of tribology has expanded in diverse fields and tribology related research activities have seen immense growth during the last decade. This review takes stock of the recent advances in research pertaining to different aspects of …
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R³Net: Recurrent Residual Refinement Network for Saliency Detection Open
Saliency detection is a fundamental yet challenging task in computer vision, aiming at highlighting the most visually distinctive objects in an image. We propose a novel recurrent residual refinement network (R^3Net) equipped with residual…
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Transformation Networks for Target-Oriented Sentiment Classification Open
Target-oriented sentiment classification aims at classifying sentiment polarities over individual opinion targets in a sentence. RNN with attention seems a good fit for the characteristics of this task, and indeed it achieves the state-of-…
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Development of Parent–Adolescent Relationships: Conflict Interactions as a Mechanism of Change Open
Adolescence is a period of rapid biological and psychosocial changes, which have a salient impact on parent–child relationships. Parents and adolescents have to reorganize responsibilities and move toward a more egalitarian relationship. A…
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Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking Open
Saliency detection has been a hot topic in recent years, and many efforts have been devoted in this area. Unfortunately, the results of saliency detection can hardly be utilized in general applications. The primary reason, we think, is uns…
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Open-ended interview questions and saturation Open
Sample size determination for open-ended questions or qualitative interviews relies primarily on custom and finding the point where little new information is obtained (thematic saturation). Here, we propose and test a refined definition of…
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Real-Time Simulation Technologies for Power Systems Design, Testing, and Analysis Open
This task force paper summarizes the state-of-the-art real-time digital simulation concepts and technologies that are used for the analysis, design, and testing of the electric power system and its apparatus. This paper highlights the main…
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<span>FinBERT</span>: A Large Language Model for Extracting Information from Financial Text* Open
We develop FinBERT, a state‐of‐the‐art large language model that adapts to the finance domain. We show that FinBERT incorporates finance knowledge and can better summarize contextual information in financial texts. Using a sample of resear…
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Text Matching as Image Recognition Open
Matching two texts is a fundamental problem in many natural language processing tasks. An effective way is to extract meaningful matching patterns from words, phrases, and sentences to produce the matching score. Inspired by the success of…
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Global Context-Aware Progressive Aggregation Network for Salient Object Detection Open
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. Most of the previous works mainly adopted multiple-leve…
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Social norms: A review Open
Social norms, as a topic of inquiry, has garnered significant attention from a variety of perspectives in recent years. Because of the rapidly-growing interest in social norms from scholars in multiple disciplines, this area of scholarship…
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Review of Visual Saliency Detection With Comprehensive Information Open
Visual saliency detection model simulates the human visual system to perceive the scene, and has been widely used in many vision tasks. With the acquisition technology development, more comprehensive information, such as depth cue, inter-i…
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Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement Open
We present a novel spatiotemporal saliency detection method to estimate salient regions in videos based on the gradient flow field and energy optimization. The proposed gradient flow field incorporates two distinctive features: 1) intra-fr…
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Information Communication Technology in Education Open
Information communication technologies (ICT) at present are influencing every aspect of human life. They are playing salient roles in work places, business, education, and entertainment. Moreover, many people recognize ICTs as catalysts fo…