Results 11 to 20 of about 1,142,230 (358)
Salient Object Subitizing [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 We study the problem of Salient Object Subitizing, i.e. predicting the existence and the number of salient objects in an image using holistic cues. This task is inspired by the ability of people to quickly and accurately identify the number of items within the subitizing range (1-4).
Jianming Zhang +8 more
openaire +10 more sources
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground [PDF]
, 2018 We provide a comprehensive evaluation of salient object detection (SOD) models. Our analysis identifies a serious design bias of existing SOD datasets which assumes that each image contains at least one clearly outstanding salient object in low clutter.
Deng-Ping Fan +5 more
openaire +5 more sources
Deep Contrast Learning for Salient Object Detection [PDF]
Computer Vision and Pattern Recognition, 2016 Salient object detection has recently witnessed substantial progress due to powerful features extracted using deep convolutional neural networks (CNNs). However, existing CNN-based methods operate at the patch level instead of the pixel level.
Guanbin Li, Yizhou Yu
semanticscholar +4 more sources
BSEFNet: bidirectional self-attention edge fusion network salient object detection based on deep fusion of edge features [PDF]
PeerJ Computer ScienceSalient object detection aims to identify the most prominent objects within an image. With the advent of fully convolutional networks (FCNs), deep learning-based saliency detection models have increasingly leveraged FCNs for pixel-level saliency ...
Gan Gao +5 more
doaj +3 more sources
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization [PDF]
Computer Vision and Pattern Recognition, 2021 Temporal action localization is an important yet challenging task in video understanding. Typically, such a task aims at inferring both the action category and localization of the start and end frame for each action instance in a long, untrimmed video ...
Chuming Lin +8 more
semanticscholar +1 more source
Salient Object Detection via Integrity Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Although current salient object detection (SOD) works have achieved significant progress, they are limited when it comes to the integrity of the predicted salient regions. We define the concept of integrity at both a micro and macro level.
Mingchen Zhuge +5 more
semanticscholar +1 more source
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
Multi-Scale Interactive Network for Salient Object Detection [PDF]
Computer Vision and Pattern Recognition, 2020 Deep-learning based salient object detection methods achieve great progress. However, the variable scale and unknown category of salient objects are great challenges all the time.
Youwei Pang +3 more
semanticscholar +1 more source
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