See places in Street View - Google Earth Help
See places in Street View Zoom in on streets around the world to see images of buildings, cars, and other scenery.
Microsoft TerraServer
The Microsoft TerraServer stores aerial and satellite images of the earth in a SQL Server Database served to the public via the Internet. It is the world's largest atlas, combining five terabytes of image data from the United States Geodetic Survey...
The Staurogram - Biblical Archaeology Society
Sep 30, 2025 · When did Christians start to depict images of Jesus on the cross? Larry Hurtado highlights an early Christian staurogram that sets the date back by 150–200 years.
Jesus and the Cross - Biblical Archaeology Society
Jan 26, 2025 · Throughout the world, images of the cross adorn the walls and steeples of churches. For some Christians, the cross is part of their daily attire worn around their necks. Sometimes the cross …
[European Comics] Siggi und die Ostgoten: How Germany's controversial "Foxlord"…
[Preview image](https://imgur.com/qmwXkaa) **Content note** for fascism and occasional bad language. Today we're unpacking some incredibly stale drama from the 1960s. If you're deep into the Franco-...
Estimacion de carga muscular mediante imagenes
Un problema de gran interes en disciplinas como la ocupacional, ergonomica y deportiva, es la medicion de variables biomecanicas involucradas en el movimiento humano (como las fuerzas musculares internas y torque de articulaciones). Actualmente este...
SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation
The Segment Anything model (SAM) has shown a generalized ability to group image pixels into patches, but applying it to semantic-aware segmentation still faces major challenges. This paper presents SAM-CP, a simple approach that establishes two types...
Chauncey - Baby Name Meaning, Origin, and Popularity
Feb 18, 2026 · The name Chauncey is a boy's name of Latin origin meaning "chancellor". A name halfway between its old milquetoast image and a more jovial Irish-sounding contemporary one.
Dielectric nanotomography based on electrostatic force microscopy: A numerical a…
Electrostatic force microscopy (EFM) can image nanoscale objects buried below the surface. Here, we theoretically show that this capability can be used to obtain nanotomographic information, i.e., the physical dimensions and dielectric properties, of...
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shif…
Diffusion models (DM) have become state-of-the-art generative models because of their capability to generate high-quality images from noises without adversarial training. However, they are vulnerable to backdoor attacks as reported by recent studies....
A Category Theoretical Investigation of the Type Hierarchy for Heterogeneous Sen…
Consider the case of many sensors, each returning very different types of data (e.g., a camera returning images, a thermometer returning probability distributions, a newspaper returning articles, a traffic counter returning numbers). Additionally we...
Flip book - Wikipedia
A flip book, flipbook, flicker book, or kineograph is a booklet with a series of images that very gradually change from one page to the next, so that when
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on I…
Large multimodal language models (LMMs) have achieved significant success in general domains. However, due to the significant differences between medical images and text and general web content, the performance of LMMs in medical scenarios is limited...
UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation
Automated radiology report generation aims to expedite the tedious and error-prone reporting process for radiologists. While recent works have made progress, learning to align medical images and textual findings remains challenging due to the relativ...
OffsetNet: Deep Learning for Localization in the Lung using Rendered Images
Navigating surgical tools in the dynamic and tortuous anatomy of the lung's airways requires accurate, real-time localization of the tools with respect to the preoperative scan of the anatomy. Such localization can inform human operators or enable cl...
The First Photometric and Orbital Period Investigation of an Extremely Low Mass…
Photometric observations for the totally eclipsing binary system TYC 4002-2628-1, were obtained between November 2020 and November 2021. To determine the stellar atmospheric parameters, a spectral image was taken with the 2.16 m telescope at National...
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
Convolutional neural networks have shown to achieve superior performance on image segmentation tasks. However, convolutional neural networks, operating as black-box systems, generally do not provide a reliable measure about the confidence of their de...
Try-On-Adapter: A Simple and Flexible Try-On Paradigm
Image-based virtual try-on, widely used in online shopping, aims to generate images of a naturally dressed person conditioned on certain garments, providing significant research and commercial potential. A key challenge of try-on is to generate reali...
Facebook - Apps on Google Play
Whether you’re thrifting gear, showing reels to that group who gets it, or sharing laughs over fun images reimagined by AI, Facebook helps you make things happen like no other social network.
Deep learning and its application to medical image segmentation
One of the most common tasks in medical imaging is semantic segmentation. Achieving this segmentation automatically has been an active area of research, but the task has been proven very challenging due to the large variation of anatomy across differ...