Results 111 to 120 of about 1,221,513 (328)

Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions

Complexity, 2019
The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations.
Xinying Xu, Guiqing Li, Gang Xie, Jinchang Ren, Xinlin Xie   +4 more
doaj   +1 more source

PlantGPT: An Arabidopsis‐Based Intelligent Agent that Answers Questions about Plant Functional Genomics

Advanced Science, EarlyView.
PlantGPT integrates 60 000+ plant research articles with Arabidopsis phenotype‐gene data through retrieval‐augmented generation and fine‐tuning of Llama3‐8B. This open‐source, specialized AI system outperforms general large language models in plant gene‐phenotype relationships, establishing a new paradigm for functional genomics research and molecular ...
Ruixiang Zhang, Yu Wang, Weiyang Yang, Jun Wen, Weizhi Liu, Shipeng Zhi, Guangzhou Li, Nan Chai, Jiaqi Huang, Yongyao Xie, Xianrong Xie, Letian Chen, Miao Gu, Yao‐Guang Liu, Qinlong Zhu   +14 more
wiley   +1 more source

Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts [PDF]

arXiv, 2020
In this paper, we present a joint multi-task learning framework for semantic segmentation and boundary detection. The critical component in the framework is the iterative pyramid context module (PCM), which couples two tasks and stores the shared latent semantics to interact between the two tasks.
arxiv  

Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation [PDF]

arXiv, 2021
This paper introduces a method for image semantic segmentation grounded on a novel fusion scheme, which takes place inside a deep convolutional neural network. The main goal of our proposal is to explore object boundary information to improve the overall segmentation performance. Unlike previous works that combine boundary and segmentation features, or
arxiv  

Heterogeneity of the Dominant Causes of Performance Loss in End‐of‐Life Cathodes and Their Consequences for Direct Recycling

Advanced Energy Materials, EarlyView.
Direct recyling of Li‐ion battery materials promises a low‐cost path towards a secure domestic supply of critical materials for batteries. Using cathode material from an end‐of‐life commercial Li‐ion cell, this work identifies the primary degradation mechanisms that diminish the performance of directly reused cathode materials and includes a discussion
Melissa Popeil, Francois L.E. Usseglio‐Viretta, Xiaofei Pu, Paul Gasper, Nikita Dutta, Evelyna Wang, Eva Allen, John S. Mangum, Nathaniel Sunderlin, Kae Fink, Jeffery M. Allen, Peter J. Weddle, Steven C. DeCaluwe, Donal P. Finegan   +13 more
wiley   +1 more source

Determining the influence of belonging to a wine protected designation of origin on profitability

Agribusiness, EarlyView.
Abstract To guide consumers, wineries need credible attributes about the quality of their wines and its origin. In Spain, protected designations of origin (PDO) guarantee that the wine has been produced in a certain wine region in accordance with specific and officially regulated quality criteria thus providing elements of guarantee to the consumer ...
Jordi Moreno Gené, Sònia Solé Puiggené, José Luis Gallizo Larraz   +2 more
wiley   +1 more source

A Study of Actor and Action Semantic Retention in Video Supervoxel Segmentation [PDF]

, 2013
Existing methods in the semantic computer vision community seem unable to deal with the explosion and richness of modern, open-source and social video content.
Corso, Jason J., Doell, Richard F., Hanson, Catherine, Hanson, Stephen José, Xu, Chenliang   +4 more
core  

Learning Pixel Representations for Generic Segmentation [PDF]

arXiv, 2019
Deep learning approaches to generic (non-semantic) segmentation have so far been indirect and relied on edge detection. This is in contrast to semantic segmentation, where DNNs are applied directly. We propose an alternative approach called Deep Generic Segmentation (DGS) and try to follow the path used for semantic segmentation.
arxiv  

TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation [PDF]

arXiv, 2021
Unsupervised semantic segmentation aims to obtain high-level semantic representation on low-level visual features without manual annotations. Most existing methods are bottom-up approaches that try to group pixels into regions based on their visual cues or certain predefined rules. As a result, it is difficult for these bottom-up approaches to generate
arxiv  

Exploring consumption profiles, consumer experience and quality claims of Canary Islands' cider (Spain): A multidimensional analysis

Agribusiness, EarlyView.
Abstract The exponential expansion of the global cider market positions it as a viable alternative to traditional choices such as wine and beer. Nevertheless, there exists a paucity of research examining the various factors influencing consumer interest in cider.
Eva Parga Dans, Pablo Alonso González, Raimundo Otero Enríquez, María‐Pilar Sáenz Navajas   +3 more
wiley   +1 more source