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Dark matter is hypothesized to outweigh "ordinary matter" in the universe by a factor of five. That means all the stuff we ...
The diagram for generating the new features. fields, which inspires us to discuss in this orientation. CNN can directly encode the spatial structure of the input, that is, the plane and angle of a 3D ...
Diamonds with certain optically active defects can be used as highly sensitive sensors or qubits for quantum computers, where ...
A new study questions the longstanding view that the visual system is divided into two pathways, one for object-recognition and the other for spatial tasks. Using computational vision models, ...
In a major step forward for radiation detection technology, a research team led by Prof. Meng Gang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has significantly ...
The 18-year-old won $250,000 for training a machine learning model to analyze understudied data from NASA's retired NEOWISE telescope ...
From a tiny sample of tissue no larger than a grain of sand, scientists have come within reach of a goal once thought ...
The data convincingly show that the transcription factor Sp1 regulates ephrin-mediated axon guidance in the spinal cord. Although the authors show that Sp1 and its co-activators p300 and CBP are ...
Abstract: As a crucial technology for enhancing the autonomous perception capability of airport optical sensors, object detection has become a research focus. This article proposes a small object ...
Apr. 2, 2025 — Jurassic dinosaurs milled about ancient Scottish lagoons, leaving up to 131 footprints at a newly discovered stomping ground on the Isle of Skye in ... 3D-Printed Open-Source ...
You can select ‘I Accept’ to consent to these uses or click on ‘Manage preferences’ to review your options and exercise your right to object to Legitimate Interest ... routing traffic between web ...
Representation Sharing for Fast Object Detector Search and Beyond; Y. Zhong, Z. Deng, S. Guo, M. R. Scott, W. Huang In: Proc. European Conference on Computer Vision ...