Results 31 to 40 of about 572,802 (294)

Multi-Space Alignments Towards Universal LiDAR Segmentation [PDF]

Computer Vision and Pattern Recognition
A unified and versatile LiDAR segmentation model with strong robustness and generalizability is desirable for safe autonomous driving perception. This work presents M3Net, a one-of-a-kind framework for fulfilling multitask, multi-dataset, multimodality ...
You-Chen Liu, Lingdong Kong, Xiaoyang Wu, Runnan Chen, Xin Li, Liang Pan, Ziwei Liu, Yuexin Ma   +7 more
semanticscholar   +1 more source

MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face Recognition

AAAI Conference on Artificial Intelligence, 2022
In unconstrained scenarios, face recognition remains challenging, particularly when faces are occluded. Existing methods generalize poorly due to the distribution distortion induced by unpredictable occlusions.
Ge Yuan, Huicheng Zheng, Jiayu Dong
semanticscholar   +1 more source

Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces

CoRR, 2016
We formulate a general energy and method for segmentation that is designed to have preference for segmenting the coarse structure over the fine structure of the data, without smoothing across boundaries of regions. The energy is formulated by considering data terms at a continuum of scales from the scale space computed from the Heat Equation within ...
Ganesh Sundaramoorthi, Naeemullah Khan, Byung-Woo Hong   +2 more
openaire   +2 more sources

MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation [PDF]

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020
The recent breakthroughs of Neural Architecture Search (NAS) have motivated various applications in medical image segmentation. However, most existing work either simply rely on hyper-parameter tuning or stick to a fixed network backbone, thereby ...
Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo   +3 more
semanticscholar   +1 more source

Attention Guided Encoder-Decoder Network With Multi-Scale Context Aggregation for Land Cover Segmentation

IEEE Access, 2020
Land cover segmentation is an important and challenging task in the field of remote sensing. Even though convolutional neural networks (CNNs) provide great support for semantic segmentation, standard models are still difficult to capture global ...
Shuyang Wang, Xiaodong Mu, Dongfang Yang, Hao He, Peng Zhao   +4 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

The Empirical Watershed Wavelet

Journal of Imaging, 2020
The empirical wavelet transform is an adaptive multi-resolution analysis tool based on the idea of building filters on a data-driven partition of the Fourier domain.
Basile Hurat, Zariluz Alvarado, Jérôme Gilles   +2 more
doaj   +1 more source

Semantic Segmentation of Large-Scale Outdoor Point Clouds by Encoder-Decoder Shared MLPs with Multiple Losses

Remote Sensing, 2021
Semantic segmentation of large-scale outdoor 3D LiDAR point clouds becomes essential to understand the scene environment in various applications, such as geometry mapping, autonomous driving, and more.
Beanbonyka Rim, Ahyoung Lee, Min Hong
semanticscholar   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Precise segmentation method for slender power targets based on multi-scale perception and location-sensitive learning

Scientific Reports
In power systems, precise wire segmentation holds significant technical value for ensuring the safe operation and maintenance of electrical facilities, yet achieving high-precision and efficient intelligent segmentation under complex scenarios involving ...
Dong Zhang, Pengjun Xie, Haowei Chen, Jiange Liu, Huaining Zhang, Jiawei Wang   +5 more
doaj   +1 more source