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Pro‐Organic by Design: Choice Architecture Shaping Online Organic Grocery Purchases

Business Strategy and the Environment, EarlyView.
ABSTRACT Consumer uptake of organic food is shaped by both personal values and the way choices are structured in the retail environment. Unlike prior research, we here investigate how elements of supermarket choice architecture influence organic choices.
John Thøgersen, Darius‐Aurel Frank, Jessica Aschemann‐Witzel   +2 more
wiley   +1 more source

MSCNet: Efficient and accurate semantic segmentation of LiDAR data using Multi-scale Convolution. [PDF]

PLoS One
Feng X, Wang A, Meng G, Xu Y, Yang J, Cheng X, Feng Y.   +6 more
europepmc   +1 more source

Semantic Segmentation for Pixel-Wise Visualization of Breast Cancer in Deep Ultraviolet-Excited Fluorescence Images. [PDF]

Acta Histochem Cytochem
Matsui T, Nakao R, Tomimoto S, Sato J, Niioka H, Takada I, Harada Y, Tanaka H, Konishi E, Nagahara H, Morita M, Naoi Y, Taguchi T, Takamatsu T.   +13 more
europepmc   +1 more source

Advances in Artificial Intelligence-Based Liver-Related Semantic Segmentation Techniques and Applications Using CT Imaging. [PDF]

Cancer Med
Pu J, Wang X, Zhu L, Pan J.
europepmc   +1 more source

ECMNet: Lightweight semantic segmentation with efficient CNN-Mamba network. [PDF]

Sci Prog
Du F, Wu S, Wang X, Ding A, Wang Z, Than JC.   +5 more
europepmc   +1 more source

Channel reconstruction and dual attention dynamic fusion for remote sensing image semantic segmentation. [PDF]

PLoS One
Wang X, Niu L, Zheng Z, Yang Q, Lu J, Yang H, Qin Q, Lian G, Wang J.   +8 more
europepmc   +1 more source

A drone imagery dataset for semantic segmentation of urban garden ground covers in biodiversity studies. [PDF]

Sci Data
Afrasiabian Y, Lu C, Belwalkar A, Elsharawy H, Song X, Yuan Y, Wu F, Su X, Van Cleemput E, Egerer M, Yu K.   +10 more
europepmc   +1 more source

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Semantic soft segmentation

ACM Transactions on Graphics, 2018
Accurate representation of soft transitions between image regions is essential for high-quality image editing and compositing. Current techniques for generating such representations depend heavily on interaction by a skilled visual artist, as creating such accurate object selections is a tedious task. In this work, we introduce
Yagiz Aksoy, Tae-Hyun Oh, Sylvain Paris, Marc Pollefeys, Wojciech Matusik   +4 more
openaire   +3 more sources

Geo-semantic segmentation

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
The availability of GIS (Geographical Information System) databases for many urban areas, provides a valuable source of information for improving the performance of many computer vision tasks. In this paper, we propose a method which leverages information acquired from GIS databases to perform semantic segmentation of the image alongside with geo ...
Shervin Ardeshir, Kofi Malcolm Collins-Sibley, Mubarak Shah   +2 more
openaire   +2 more sources

A Survey on Semantic Segmentation

2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018
Semantic Segmentation is a computer vision task for predicting the pixel labels corresponding to its belonging region or enclosing region area. It is an important part in many CV tasks and plays a significant role in machine learning. Semantic segmentation is aim at understanding special object class in the scene. In the paper, we will give a survey of
Biao Li 0005, Yong Shi 0001, Zhiquan Qi, Zhensong Chen 0001   +3 more
openaire   +1 more source