Results 91 to 100 of about 12,457,928 (304)
Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds [PDF]
Hangkong bingqiThe 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
On the Effect of Image Resolution on Semantic Segmentation
CoRRarXiv admin note: text overlap with arXiv:2209.08667 by other ...
Ritambhara Singh +4 more
openaire +2 more sources
A robust automatic clustering scheme for image segmentation using wavelets [PDF]
, 1995 The optimal features with which to discriminate between regions and, thus, segment an image often differ depending on the nature of the image. Many real images are made up of both smooth and textured regions and are best segmented using different ...
Canagarajah, CN, Porter, RMS
core +1 more source
Advanced Robotics Research, EarlyView.A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal +5 more
wiley +1 more source
A Hybrid Chaotic Bat Algorithm With Deep Learning Optimization for Multi-Level Image Segmentation
IEEE AccessThis paper examines the applicability of the Bat Algorithm (BA) and its variants as optimization frameworks for various image segmentation paradigms.
Caslav Livada +3 more
doaj +1 more source
Advanced Robotics Research, EarlyView.This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
, 2023 The deep learning technique has already been successfully applied in the field of microwave remote sensing. Especially, convolutional neural networks have demonstrated remarkable effectiveness in synthetic aperture radar (SAR) image semantic segmentation.
Xiaopeng Zhao +4 more
core +1 more source
Advanced Science, EarlyView.Using single‐cell transcriptomic and epigenomic profiling, researchers mapped microglial dysfunction across the lifespan of db/db mice. The authors uncovered a nonlinear microglial remodeling featuring early inflammatory priming, a mid‐stage transcriptional inflection, and late dysfunction.
Jizhou Zhang +6 more
wiley +1 more source
Remote SensingVisual foundation models exhibit significant potential for extracting generalized characteristics from imagery, which is crucial for remote sensing image interpretation tasks.
Yinggang Guo +4 more
doaj +1 more source
Advanced Science, EarlyView.A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen +15 more
wiley +1 more source