Results 111 to 120 of about 7,550 (263)

FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets

Journal of Field Robotics, EarlyView.
ABSTRACT Visibility underwater is challenging and degrades as the distance between the subject and the camera increases. That is why forward‐looking underwater computer vision tasks are difficult. We have collected underwater forward‐looking stereovision and visual–inertial image sets using two underwater imaging platforms, a stereo camera rig, and an ...
Yelena Randall, Ori Lifschitz, Tali Treibitz   +2 more
wiley   +1 more source

The FENIKS Survey: Multiwavelength Photometric Catalog in the UDS Field, and Catalogs of Photometric Redshifts and Stellar Population Properties

The Astrophysical Journal
We present the construction of a deep multiwavelength point-spread-function-matched photometric catalog in the Ultra-Deep Survey (UDS) field following the final UKIDSS UDS release.
Kumail Zaidi, Danilo Marchesini, Casey Papovich, Jacqueline Antwi-Danso, Mario Nonino, Marianna Annunziatella, Gabriel Brammer, James Esdaile, Karl Glazebrook, Kartheik Iyer, Ivo Labbé, Z. Cemile Marsan, Adam Muzzin, David A. Wake   +13 more
doaj   +1 more source

DOM: Dual Optical Mapping Integrating Sequence‐Specific Barcodes and A/T Density Profiles

Small Methods, EarlyView.
Dual Optical Mapping (DOM) combines sequence‐specific barcodes and an A/T profile to generate complementary genomic signatures along single DNA molecules. The integration of sparse and dense mapping information enables accurate and confident genome mapping, facilitating reliable localization of long DNA molecules in complex genomes, including the ...
Jaeyoung Bae, Yunchul Kim, Joohee Choe, Jinhui Hong, Byoungsang Lee, Kaori Hashiya, Toshikazu Bando, Hiroshi Sugiyama, Seonghyun Lee, Jung Heon Lee, Kyubong Jo   +10 more
wiley   +1 more source

VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou, Jingfeng Li, Hao Li, Xiaolei Hou, Jinwen Hu, Jingkun Chen, Lechao Cheng, Dingwen Zhang   +7 more
wiley   +1 more source

Boosting Embodied Visual Localisation Through Multi‐Granular Semantics and Multi‐Robot Consensus

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Achieving high accuracy and synergy remains extremely difficult for multi‐robot embodied visual localisation, which suffers from persistent real‐world challenges such as viewpoint ambiguity, appearance variation and dynamic occlusion. Conventional optimisation‐based methods often lead to incorrect feature matching without domain adaptation ...
Wenshuai Wang, Shiyu Liu, Peifeng Jiang, Hong Liu, Runwei Ding   +4 more
wiley   +1 more source

TMSA‐Net: Transformer‐Based Multi‐Scale Attention U‐Net for Flood Image Segmentation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Flood detection is essential for real‐time applications, including disaster management, emergency response, and alerting people in flood zones. For successful flood detection, accurate flood region segmentation is essential. However, the flood region segmentation is challenging due to the complex background and occlusions with debris and the ...
Parham Imanzadeh Charandabi, Shivakumara Palaiahnakote, Apostolos Antonacopoulos, Christian Clausner   +3 more
wiley   +1 more source

GoniOwl: convolutional neural network‐based sample state detection for collision prevention on synchrotron beamlines

Journal of Synchrotron Radiation, EarlyView.
GoniOwl, a lightweight convolutional neural network integrated into the EPICS control system, detects sample‐pin presence from beamline camera images with >99% accuracy and fail‐safe uncertainty handling, offering a transferable approach to vision‐based collision prevention on synchrotron beamlines.Preventing collisions during automated sample exchange
Christian M. Orr, James O'Hea, Armin Wagner   +2 more
wiley   +1 more source

Towards routine accurate electron‐density studies of biological macromolecules

Acta Crystallographica Section D, EarlyView.
Here, we describe the determination of the highest resolution structure in the PDB at 0.43 Å resolution. Electron‐density maps reveal extensive deformation electron density that is completely accounted for by performing transferable aspherical atom refinements using the DiSCaMB library in BUSTER.We report here the structure of Pyrococcus abyssi ...
Elham Paknia, Claus Flensburg, Michal Leszek Chodkiewicz, Rasmus H. Fogh, Peter Keller, Clemens Vonrhein, Clemens Schulze-Briese, Paulina Maria Dominiak, Gleb Bourenkov, Gérard Bricogne, Ashwin Chari   +10 more
wiley   +1 more source

Deep blueprint: A literature review and guide to automated image classification for ecologists

Journal of Animal Ecology, EarlyView.
A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game, Nils Piechaud, Kerry L. Howell   +2 more
wiley   +1 more source