Results 21 to 30 of about 1,120,551 (376)
Reaction mechanisms for electrolytic manganese dioxide in rechargeable aqueous zinc-ion batteries
Scientific Reports, 2021 This study reports the phase transformation behaviour associated with electrolytic manganese dioxide (EMD) utilized as the positive electrode active material for aqueous zinc-ion batteries.
Thuy Nguyen Thanh Tran +4 more
doaj +1 more source
Heterogeneity in Risk-Taking During the COVID-19 Pandemic: Evidence From the UK Lockdown
Frontiers in Psychology, 2021 In two pre-registered online studies during the COVID-19 pandemic and the early 2020 lockdown (one of which with a UK representative sample) we elicit risk-tolerance for 1,254 UK residents using four of the most widely applied risk-taking tasks in ...
Benno Guenther +3 more
doaj +1 more source
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
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
openalex +2 more sources
Salient Semantic Segmentation Based on RGB-D Camera for Robot Semantic Mapping
Applied Sciences, 2023 Semantic mapping can help robots better understand the environment and is extensively studied in robotics. However, it is a challenge for semantic mapping that calibrates all the obstacles with semantics.
Lihe Hu +4 more
doaj +1 more source
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
openaire +3 more sources
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
semanticscholar +1 more source
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
doaj +1 more source
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection [PDF]
Computer Vision and Pattern Recognition, 2019 Existing state-of-the-art salient object detection networks rely on aggregating multi-level features of pre-trained convolutional neural networks (CNNs).
Zhe Wu, Li Su, Qingming Huang
semanticscholar +1 more source
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
doaj +1 more source