Results 91 to 100 of about 7,273,685 (301)
Asymmetric Non-Local Neural Networks for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 2019 The non-local module works as a particularly useful technique for semantic segmentation while criticized for its prohibitive computation and GPU memory occupation.
Zhen Zhu +4 more
semanticscholar +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
A Toxic Crisis: Metaphorizing the Financial Crisis
International Journal of Communication, 2015 The recent financial crisis has been covered in newspapers with metaphors such as toxic assets and toxic loans. Although these groups of related metaphors (i.e., metaphor families) may strengthen the intended images on the topic under discussion, they ...
Adina Nerghes +2 more
doaj +2 more sources
Cognitive responsive e-assessment of constructive e-learning
Je-LKS: Journal of E-Learning and Knowledge Society, 2016 Semantic networks from 900 high education students from different knowledge domains were obtained by using a computer system. Then computer simulated schemata behavior and/or analysis of semantic networks allowed to select relevant course schemata ...
Guadalupe Elizabeth Morales-Martinez +1 more
doaj +1 more source
Distinctive-attribute Extraction for Image Captioning
, 2018 Image captioning, an open research issue, has been evolved with the progress of deep neural networks. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are employed to compute image features and generate natural language ...
Cho, Choongsang +3 more
core +1 more source
Expectation-Maximization Attention Networks for Semantic Segmentation [PDF]
IEEE International Conference on Computer Vision, 2019 Self-attention mechanism has been widely used for various tasks. It is designed to compute the representation of each position by a weighted sum of the features at all positions.
Xia Li +5 more
semanticscholar +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
, 2016 Large-scale data is of crucial importance for learning semantic segmentation models, but annotating per-pixel masks is a tedious and inefficient procedure.
Dai, Jifeng +4 more
core +1 more source
Feature Pyramid Networks for Object Detection [PDF]
Computer Vision and Pattern Recognition, 2016 Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in recent object detectors that are based on deep convolutional networks, partially because they are ...
Tsung-Yi Lin +5 more
semanticscholar +1 more source
Advanced Materials, EarlyView.The Material Preparation Information File (MPIF) establishes a universal, community‐driven format for documenting the synthesis of metal–organic frameworks and related materials. By capturing complete, machine‐readable synthesis and characterization details, MPIF enhances reproducibility, supports FAIR data sharing, and bridges experimental chemistry ...
Ocean Cheung +10 more
wiley +1 more source