Results 41 to 50 of about 13,220,426 (366)
Swarmic Sketches and Attention Mechanism [PDF]
, 2013 This paper introduces a novel approach deploying the mechanism of ‘attention’ by adapting a swarm intelligence algorithm – Stochastic Diffusion Search – to selectively attend to detailed areas of a digital canvas. Once the attention of the swarm is drawn to a certain line within the canvas, the capability of another swarm intelligence algorithm ...
Al-Rifaie, Mohammad Majid +1 more
openaire +2 more sources
Effective Approaches to Attention-based Neural Machine Translation [PDF]
, 2015 An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the source sentence during translation.
Luong, Minh-Thang +2 more
core +3 more sources
Improved YOLO v5 Wheat Ear Detection Algorithm Based on Attention Mechanism
Electronics, 2022 The detection and counting of wheat ears are essential for crop field management, but the adhesion and obscuration of wheat ears limit detection accuracy, with problems such as false detection, missed detection, and insufficient feature extraction ...
Rui Li, Y. Wu
semanticscholar +1 more source
A power equipment monitoring system based on SE-Attention image recognition model
Xi'an Gongcheng Daxue xuebao, 2021 The current power equipment monitoring is mainly based on the traditional classical neural network automatic monitoring mode, which has such problems as low accuracy and difficulty to dig out the deep information of the image, a power equipment ...
Qiyuan HE +6 more
doaj +1 more source
Keyphrase Generation Based on Deep Seq2seq Model
IEEE Access, 2018 Keyphrase can provide highly summative information which can help us improve information utilization efficiency in the era of information overload. Though previous researches about keyphrase generation have provided some workable solutions, they generate
Yong Zhang, Weidong Xiao
doaj +1 more source
RoBERTa-CoA: RoBERTa-Based Effective Finetuning Method Using Co-Attention
IEEE Access, 2023 In the field of natural language processing, artificial intelligence (AI) technology has been utilized to solve various problems, such as text classification, similarity measurement, chatbots, machine translation, and machine reading comprehension ...
Jeong-Hoon Kim +5 more
doaj +1 more source
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization [PDF]
AAAI Conference on Artificial Intelligence, 2021 Weakly supervised temporal action localization is a challenging vision task due to the absence of ground-truth temporal locations of actions in the training videos.
Ashraful Islam +2 more
semanticscholar +1 more source
Action–based mechanisms of attention
Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1998 Actions, which have effects in the external world, must be spatiotopically represented in the brain. The brain is capable of representing space in many different forms (e.g. retinotopic–, environment–, head– or shoulder–centred), but we maintain that actions are represented in action–centred space, meaning that, at the cellular level, the direction of ...
Louise A. Howard +2 more
openaire +4 more sources
Underwater Object Detection Algorithm Based on Adding Channel and Spatial Fusion Attention Mechanism
Journal of Marine Science and Engineering, 2023 Underwater target detection is the foundation and guarantee for the autonomous operation of underwater vehicles and is one of the key technologies in marine exploration. Due to the complex and special underwater environment, the detection effect is poor,
Xingyao Wang +3 more
doaj +1 more source
Scale Pyramid Attention for Single Shot MultiBox Detector
IEEE Access, 2019 Feature pyramid mechanism has improved the performance of object detectors by a large margin, especially for the objects with small scale. As one of the first attempts to use pyramidal feature hierarchy, Single Shot MultiBox Detector (SSD) has largely ...
Jie Hao +5 more
doaj +1 more source