Results 41 to 50 of about 58,990 (298)

Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds [PDF]

Hangkong bingqi
The semantic segmentation of infrared weak targets relies more on detailed texture features, and deeper network architecture are not suitable for semantic segmentation of infrared targets, making it difficult to accurately segment weak targets from ...
Ji Haoyu, Meng Weihua, Zhang Xinchao, Duan Jingfei, Zhang Meng
doaj   +1 more source

High precision semantic segmentation based on multi-level feature fusion

Xi'an Gongcheng Daxue xuebao, 2021
In order to solve the problems of fuzzy edge segmentation and imprecise segmentation of small objects in image semantic segmentation, a high-precision semantic segmentation method was proposed.
Xiaohua WANG, Zhenxing YE, Wenjie WANG, Lei ZHANG   +3 more
doaj   +1 more source

ERN: Edge Loss Reinforced Semantic Segmentation Network for Remote Sensing Images

Remote Sensing, 2018
The semantic segmentation of remote sensing images faces two major challenges: high inter-class similarity and interference from ubiquitous shadows. In order to address these issues, we develop a novel edge loss reinforced semantic segmentation network ...
Shuo Liu, Wenrui Ding, Chunhui Liu, Yu Liu, Yufeng Wang, Hongguang Li   +5 more
doaj   +1 more source

CLIP for Lightweight Semantic Segmentation

, 2023
The large-scale pretrained model CLIP, trained on 400 million image-text pairs, offers a promising paradigm for tackling vision tasks, albeit at the image level. Later works, such as DenseCLIP and LSeg, extend this paradigm to dense prediction, including semantic segmentation, and have achieved excellent results.
Jin, Ke, Yang, Wankou
openaire   +2 more sources

Condition-Invariant Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptation of semantic segmentation networks to different visual conditions is vital for robust perception in autonomous cars and robots. However, previous work has shown that most feature-level adaptation methods, which employ adversarial training and are validated on synthetic-to-real adaptation, provide marginal gains in condition-level adaptation ...
Christos Sakaridis, David Bruggemann, Fisher Yu, Luc Van Gool   +3 more
openaire   +3 more sources

Cognitive Status in People With Epilepsy in the Republic of Guinea: A Prospective, Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick, Cheick O. Soumah, Malé Doré, Oumar Mara, Desiré Neldje, Fodé A. Cissé, Toure M. Lamine, Aminata Diallo, Seungwon Lee, Siddharth Satish, Alexander J. X. Chen, Alice Liu, Nomin Enkhtsetseg, Farrah J. Mateen, The Guinea Epilepsy Project   +14 more
wiley   +1 more source

Multi-Resolution Learning and Semantic Edge Enhancement for Super-Resolution Semantic Segmentation of Urban Scene Images

Sensors
Super-resolution semantic segmentation (SRSS) is a technique that aims to obtain high-resolution semantic segmentation results based on resolution-reduced input images.
Ruijun Shu, Shengjie Zhao
doaj   +1 more source

Causal unsupervised semantic segmentation

Pattern Recognition
Unsupervised semantic segmentation aims to achieve high-quality semantic grouping without human-labeled annotations. With the advent of self-supervised pre-training, various frameworks utilize the pre-trained features to train prediction heads for unsupervised dense prediction.
Junho Kim, Byung-Kwan Lee, Yong Man Ro
openaire   +2 more sources

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Semantic segmentation of aerial videos has been extensively used for decision making in monitoring environmental changes, urban planning, and disaster management. The reliability of these decision support systems is dependent on the accuracy of the video
S. Girisha, Ujjwal Verma, M. M. Manohara Pai, Radhika M. Pai   +3 more
doaj   +1 more source