Abstract: Semantic segmentation is an essential technique in remote sensing. Until recently, most related research has focused primarily on advancing semantic segmentation models based on monomodal ...
Tension: We segment customers to personalize marketing, yet most segmentation strategies reveal how little we understand ...
ISA president Scott Reynolds recommends disallowing active directories, micro-segmenting networks, and establishing ...
In 2014, Experian Marketing Services released research identifying six distinct deal-seeking consumer segments. The ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
By Application: According to Food Dive, 67% of customers globally believe it is critical that the items they buy come in recyclable packaging, with 54% indicating it is a factor they consider when ...
Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...
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