Results 61 to 70 of about 369,316 (285)

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

, 2019
Convolutional autoencoders have emerged as popular methods for unsupervised defect segmentation on image data. Most commonly, this task is performed by thresholding a pixel-wise reconstruction error based on an $\ell^p$ distance. This procedure, however,
Bergmann, Paul, Fauser, Michael, Löwe, Sindy, Sattlegger, David, Steger, Carsten   +4 more
core   +1 more source

Why human connection is the true metric of research success

FEBS Open Bio, EarlyView.
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan, Mattias Wei Ren Kon, Xavier Coumoul, Fun Man Fung   +3 more
wiley   +1 more source

Remote Sensing Image Segmentation Using Vision Mamba and Multi-Scale Multi-Frequency Feature Fusion

Remote Sensing
Rapid advancements in remote sensing (RS) imaging technology have heightened the demand for the precise and efficient interpretation of large-scale, high-resolution RS images. Although segmentation algorithms based on convolutional neural networks (CNNs)
Yice Cao, Chenchen Liu, Zhenhua Wu, Lei Zhang, Lixia Yang   +4 more
doaj   +1 more source

Keypoint Transfer for Fast Whole-Body Segmentation

, 2018
We introduce an approach for image segmentation based on sparse correspondences between keypoints in testing and training images. Keypoints represent automatically identified distinctive image locations, where each keypoint correspondence suggests a ...
Golland, Polina, Langs, Georg, Toews, Matthew, Wachinger, Christian, Wells, William   +4 more
core   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

Semantic segmentation of remote sensing images based on dual‐channel attention mechanism

IET Image Processing
Due to the inadequate utilization of data correlation and complementarity in the feature extraction process of multimodal remote sensing images, the paper proposes a deep learning semantic segmentation algorithm based on the Dual Channel Attention ...
Jionghui Jiang, Xi'an Feng, Hui Huang
doaj   +1 more source

DFSNet: A 3D Point Cloud Segmentation Network toward Trees Detection in an Orchard Scene

Sensors
In order to guide orchard management robots to realize some tasks in orchard production such as autonomic navigation and precision spraying, this research proposed a deep-learning network called dynamic fusion segmentation network (DFSNet).
Xinrong Bu, Chao Liu, Hui Liu, Guanxue Yang, Yue Shen, Jie Xu   +5 more
doaj   +1 more source

Superpixel Convolutional Networks using Bilateral Inceptions

, 2016
In this paper we propose a CNN architecture for semantic image segmentation. We introduce a new 'bilateral inception' module that can be inserted in existing CNN architectures and performs bilateral filtering, at multiple feature-scales, between ...
A Adams, ES Gastal, J Domke, JB Tenenbaum, K He, M Kiefel, R Achanta, S Gould, S He, S Nowozin, S Paris, T-Y Lin   +11 more
core   +1 more source

Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation [PDF]

IEICE Transactions on Information and Systems, 2004
In this paper, we present a new framework for analyzing and segmenting point-sampled 3D objects. Our method first computes for each surface point the surface curvature distribution by applying the principal component analysis on local neighborhoods with different sizes.
Hamid Laga, Hiroki Takahashi, Masayuki Nakajima   +2 more
openaire   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source