Tootfinder

Stylish Prefab Home Can Be ‘Dropped’ into Flooded Areas or Anywhere Housing is Needed https://www.goodnewsnetwork.org/prefab-home-can-be-dropped-into-flooded-areas-or-anywhere-housing-is-needed/

Prefab Home Can Be ‘Dropped’ into Flooded Areas or Anywhere Housing is Needed
To cope with rising sea levels, architects in Indonesia designed the Drop Pod, a stylish modular structure that is “quick to install.”

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/5]:
- Video-based Sign Language Recognition without Temporal Segmentation
Jie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li

Hey friends, sorry to be so silent again. Busy life - but nothing bad.
Just wanted to share this photo with you :
THIS was the narrowest passage ahead. It's just this and around the corner, after this it widens up again. And I can promise: it does not just look narrow - it really IS.
I admit that I thought "ohkay, I did NOT expect that and I hope it won't get worse".
(it didn't and it was fun after all)

Abrutschender Hang, Fokusspiele
Nesselwang, Albspitze 2025
#stones #hiking #NatureBeauty

Faced with the possibility of scrapping old computers on which Windows 11 is not supported by Microsoft: some users resort to hacking.
Others prefer a switch to free software, to no longer depend on Microsoft.
https://www.radio…

China set to open world’s tallest bridge, expanding infrastructure push
China will open the world’s tallest bridge this month,
besting its own record with a structure that can fit almost two Eiffel Towers beneath it.

The Huajiang Grand Canyon Bridge in southwestern Guizhou,
one of China’s poorest provinces,
stands a staggering 2,050 feet above ground,
making it almost twice the height of Paris’s landmark tower.

It stretches 9,481 feet end to end, ac…

China set to open world’s tallest bridge, expanding infrastructure push
The Huajiang Grand Canyon Bridge can fit almost two Eiffel Towers under it and will be touted as evidence of China’s engineering prowess when it opens this month.

We are not always discovering high mountains - sometimes we also go below earth. 😄
Here we went ~55m below the surface to see what the world below our feet looks like. And yes, the stairs were as steep as they appear on the #photo! The whole walk took us about an hour.
more about it:

Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
Bingyu Li, Haocheng Dong, Da Zhang, Zhiyuan Zhao, Junyu Gao, Xuelong Li
https://arxiv.org/abs/2509.12040 h…

Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
Open-Vocabulary Remote Sensing Image Segmentation (OVRSIS), an emerging task that adapts Open-Vocabulary Segmentation (OVS) to the remote sensing (RS) domain, remains underexplored due to the absence of a unified evaluation benchmark and the domain gap between natural and RS images. To bridge these gaps, we first establish a standardized OVRSIS benchmark (\textbf{OVRSISBench}) based on widely-used RS segmentation datasets, enabling consistent evaluation across methods. Using this benchmark, we …

First post of our vacation in the #schwarzwald . Already on the way to our stay, we made a stop to visit the Laichinger Tiefenhöhle cave!
https://www.franzgraf.de/blog…

Discovering Laichingen’s Shaft Cave on our way to the Black Forest
On our trip to Baiersbronn in the Black Forest, we broke up the long drive with a fascinating stop at Tiefenhöhle Laichingen. This unique shaft cave, Germany’s deepest show cave, offered an unforgettable descent beneath the earth through narrow passages and steep stairs before we continued to begin

A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburgh Pig Dataset
Haiyu Yang, Enhong Liu, Jennifer Sun, Sumit Sharma, Meike van Leerdam, Sebastien Franceschini, Puchun Niu, Miel Hostens
https://arxiv.org/abs/2509.12047

A Computer Vision Pipeline for Individual-Level Behavior Analysis: Benchmarking on the Edinburgh Pig Dataset
Animal behavior analysis plays a crucial role in understanding animal welfare, health status, and productivity in agricultural settings. However, traditional manual observation methods are time-consuming, subjective, and limited in scalability. We present a modular pipeline that leverages open-sourced state-of-the-art computer vision techniques to automate animal behavior analysis in a group housing environment. Our approach combines state-of-the-art models for zero-shot object detection, motio…