Tootfinder

A Goal-Oriented Approach for Active Object Detection with Exploration-Exploitation Balance
Yalei Yu, Matthew Coombes, Wen-Hua Chen, Cong Sun, Myles Flanagan, Jingjing Jiang, Pramod Pashupathy, Masoud Sotoodeh-Bahraini, Peter Kinnell, Niels Lohse
https://arxiv.org/abs/2509.11467

A Goal-Oriented Approach for Active Object Detection with Exploration-Exploitation Balance
Active object detection, which aims to identify objects of interest through controlled camera movements, plays a pivotal role in real-world visual perception for autonomous robotic applications, such as manufacturing tasks (e.g., assembly operations) performed in unknown environments. A dual control for exploration and exploitation (DCEE) algorithm is presented within goal-oriented control systems to achieve efficient active object detection, leveraging active learning by incorporating variance…

1/2 Thanks to @… for this interesting article. It speaks to me. :)
I’ve been weather blogging @… since 2005. It is interesting how it has changed, and how I have changed.
My website used to be just data from the (expensive) station I bought when I moved back to Port Alberni. It was a hobby and a side project to practice web/coding skills I use at work. My focus was on creating useful data for people that was more local/relevant than the official EC station outside of the city.
Then I put up a webcam and learned how to make timelapses. This got the attention of local media… because pictures. :)
Then I added a blog and started to write about the weather almost daily. This was before Facebook. There was a popular local online forum where I would post things. The media would also follow my website and they started to call me when there was extreme weather (usually very hot or very wet/stormy).
Then Facebook started to get big and I made a page that eventually had a few thousand followers. I would blog often. Lots of traffic from Facebook… this was 2010 and on. I blogged about climate and weather pretty equally.
Like anyone in Port Alberni, I was/am obsessed with the Martin Mars and got wrapped up in that issue along with others which combined with the weather following probably gave me just enough exposure to have me elected as a councillor in 2014.
I continued through that 4 years, blogging often in addition to councillor duties and work, heavily on facebook, then it all went sideways on my own poor judgement (go ahead and google it, it’s ok :)) and I was not reelected, but Facebook by 2018 had also changed. Cambridge Analytica, etc.
….Continued…
https://www.theglobeandmail.com/canada/article-weather-apps-data-wildfires-storms-preparation-obsession-social-media/

Mask Consistency Regularization in Object Removal
Hua Yuan, Jin Yuan, Yicheng Jiang, Yao Zhang, Xin Geng, Yong Rui
https://arxiv.org/abs/2509.10259 https://

Mask Consistency Regularization in Object Removal
Object removal, a challenging task within image inpainting, involves seamlessly filling the removed region with content that matches the surrounding context. Despite advancements in diffusion models, current methods still face two critical challenges. The first is mask hallucination, where the model generates irrelevant or spurious content inside the masked region, and the second is mask-shape bias, where the model fills the masked area with an object that mimics the mask's shape rather than su…

Eleven Local Volume dwarf galaxies in the FASHI survey
Aleksandra Nazarova, Dmitry Makarov, Igor Karachentsev, Chuan-Peng Zhang, Ming Zhu
https://arxiv.org/abs/2509.12828 https:…

Eleven Local Volume dwarf galaxies in the FASHI survey
We determined HI parameters for eleven nearby late-type dwarf galaxies using FASHI data cubes, despite the fact that the first version of the FASHI catalog does not list any radio sources that could correspond to these galaxies. Four of them are probable peripheral satellites of the bright spiral galaxies: NGC 3556, NGC 4258, NGC 4274, NGC 4490, while others are isolated objects. The considered sample has the following median parameters: a heliocentric velocity of $V_\mathrm{h} = 542 \ km/s$, a…

Active Learning and Explainable AI for Multi-Objective Optimization of Spin Coated Polymers
Brendan Young, Brendan Alvey, Andreas Werbrouck, Will Murphy, James Keller, Mattias J. Young, Matthew Maschmann
https://arxiv.org/abs/2509.08988

Active Learning and Explainable AI for Multi-Objective Optimization of Spin Coated Polymers
Spin coating polymer thin films to achieve specific mechanical properties is inherently a multi-objective optimization problem. We present a framework that integrates an active Pareto front learning algorithm (PyePAL) with visualization and explainable AI techniques to optimize processing parameters. PyePAL uses Gaussian process models to predict objective values (hardness and elasticity) from the design variables (spin speed, dilution, and polymer mixture), guiding the adaptive selection of sa…

I feel stupid for asking this… but is there still no good way to checkout and later pull a pull request branch from another repo?
We've got `gh pr checkout NUMBER` but the only way I've found to fetch updates is to delete the local branch and start over.
I really don't want to play adlib with manually adding remotes etc – is this still the best we can do in 2025??
EDIT: it’s solved! 🎉

Tomáš Janoušek (@liskin@genserver.social)
@hynek @carlton Drop fetch.all=true and that fixes it.You may need to learn to use git remote update instead of git fetch though.And I’d consider filing this as a bug upstream, because as you said ...

WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation
Runting Li, Shijie Lian, Hua Li, Yutong Li, Wenhui Wu, Sam Kwong
https://arxiv.org/abs/2510.12605

WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation
Underwater Salient Object Detection (USOD) faces significant challenges, including underwater image quality degradation and domain gaps. Existing methods tend to ignore the physical principles of underwater imaging or simply treat degradation phenomena in underwater images as interference factors that must be eliminated, failing to fully exploit the valuable information they contain. We propose WaterFlow, a rectified flow-based framework for underwater salient object detection that innovatively…

Nepalese "Gen Z" protestors set fire to the offices of daily newspaper Annapurna Post and of Kantipur Media Group, housing its print, TV, and radio divisions (Committee to Protect Journalists)
https://cpj.org/2025/09/nepal-protests

Nepal protests: Media outlets torched and journalists injured in deadly unrest - Committee to Protect Journalists
New Delhi, September 10, 2025—The Committee to Protect Journalists calls on Nepali authorities to ensure the safety of journalists covering protests in the Himalayan nation, following reports the offices of at least two media outlets were set on fire and four journalists were injured in the unrest. Violent protests erupted in Kathmandu and other parts...

I haven’t added an example of how you implement migrations with Kitten’s¹ built-in JSDB database² yet but here’s one that I just used when renaming a field (property) in a table (JavaScript object) from “account” to “data” that illustrates the general granular approach you should take within persisted instances of JavaScript classes.
This is, of course, an advanced use case of the built-in JavaScript database that all Kitten apps have.
Kitten is simple for simple use cases. So ch…

OBJVanish: Physically Realizable Text-to-3D Adv. Generation of LiDAR-Invisible Objects
Bing Li, Wuqi Wang, Yanan Zhang, Jingzheng Li, Haigen Min, Wei Feng, Xingyu Zhao, Jie Zhang, Qing Guo
https://arxiv.org/abs/2510.06952

OBJVanish: Physically Realizable Text-to-3D Adv. Generation of LiDAR-Invisible Objects
LiDAR-based 3D object detectors are fundamental to autonomous driving, where failing to detect objects poses severe safety risks. Developing effective 3D adversarial attacks is essential for thoroughly testing these detection systems and exposing their vulnerabilities before real-world deployment. However, existing adversarial attacks that add optimized perturbations to 3D points have two critical limitations: they rarely cause complete object disappearance and prove difficult to implement in p…