Tootfinder

Detect Any Sound: Open-Vocabulary Sound Event Detection with Multi-Modal Queries
Pengfei Cai, Yan Song, Qing Gu, Nan Jiang, Haoyu Song, Ian McLoughlin
https://arxiv.org/abs/2507.16343

Detect Any Sound: Open-Vocabulary Sound Event Detection with Multi-Modal Queries
Most existing sound event detection~(SED) algorithms operate under a closed-set assumption, restricting their detection capabilities to predefined classes. While recent efforts have explored language-driven zero-shot SED by exploiting audio-language models, their performance is still far from satisfactory due to the lack of fine-grained alignment and cross-modal feature fusion. In this work, we propose the Detect Any Sound Model (DASM), a query-based framework for open-vocabulary SED guided by …

One last push:
The @… app campaign is just €7000 away from it's €55,000 target, and 2 days to go. Surely there are #fedizens who may not have seen this already? If they make the €55,000 target I promise to write a peertube channel into my next grant proposal, AND I'll post some better quality videos of our Greenland and #Antarctic research over the coming weeks...
Go!
#bigTech derisory) amount of EUR 75,000 to develop the opensource #fediverse competitor app to Youtube. Maybe chuck 'em a few euros if you think it useful?
https://support.joinpeertube.org/en/

DMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth
Zheng Lian, Licai Sun, Haoyu Chen, Zebang Cheng, Fan Zhang, Ziyu Jia, Ziyang Ma, Fei Ma, Xiaojiang Peng, Jianhua Tao
https://arxiv.org/abs/2507.04278

DMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth
Descriptive Multimodal Emotion Recognition (DMER) is a newly proposed task that aims to describe a person's emotional state using free-form natural language. Unlike traditional discriminative methods that rely on predefined emotion taxonomies, DMER provides greater flexibility in emotional expression, enabling fine-grained and interpretable emotion representations. However, this free-form prediction paradigm introduces significant challenges in evaluation. Existing methods either depend on grou…

Grand Design Spiral Arms in the Compact, Embedded Protoplanetary Disk of Haro 6-13
Jane Huang, Masataka Aizawa, Jaehan Bae, Sean M. Andrews, Myriam Benisty, Edwin A. Bergin, Stefano Facchini, Christian Ginski, Michael K\"uffmeier
https://arxiv.org/abs/2506.06433

Grand Design Spiral Arms in the Compact, Embedded Protoplanetary Disk of Haro 6-13
Millimeter continuum spiral arms have so far only been detected in a handful of protoplanetary disks, and thus we have a limited understanding of the circumstances in which they can form. In particular, substructures in small disks ($R\lessapprox 50$ au) have not been well-characterized in comparison with large disks. We present ALMA 1.3 mm continuum observations of the disk around the T Tauri star Haro 6-13 at a resolution of $\sim0.04''$ ($\sim5$ au). A pair of low-contrast spiral arms are de…

Exploring Societal Concerns and Perceptions of AI: A Thematic Analysis through the Lens of Problem-Seeking
Naomi Omeonga wa Kayembe
https://arxiv.org/abs/2505.23930

Exploring Societal Concerns and Perceptions of AI: A Thematic Analysis through the Lens of Problem-Seeking
This study introduces a novel conceptual framework distinguishing problem-seeking from problem-solving to clarify the unique features of human intelligence in contrast to AI. Problem-seeking refers to the embodied, emotionally grounded process by which humans identify and set goals, while problem-solving denotes the execution of strategies aimed at achieving such predefined objectives. The framework emphasizes that while AI excels at efficiency and optimization, it lacks the orientation derived…

(And now @… are less than €19,000 away from their stretch target of € 75,000 to provide @… services to all. Amazing work folks and fedizens 🤩)
#Fediverse is amazing, less than 24 hours after I posted this and @peertube  is only €223 from the penultimate target with 30 hours to go.
Not taking any credit for that, but happy to see a chord has been struck for all genuine surveillance-capital-free social media. Even more important in the time of #NoKings.
Looks like I'm going to be busy making #Science videos on #ClimateChange in the #Polar Regions too for the next few weeks.
Here's one I made earlier on #SurfaceMass Budget. Let me know if there's something #Climate and/or #ice related you'd like to see a short clip about and I'll see what we can do
#fedizens who may not have seen this already? If they make the €55,000 target I promise to write a peertube channel into my next grant proposal, AND I'll post some better quality videos of our Greenland and #Antarctic research over the coming weeks...
Go!
https://support.joinpeertube.org/en/

A 4% withdrawal rate for retirement spending, derived from a discrete-time model of stochastic returns on assets
Drew M. Thomas
https://arxiv.org/abs/2508.10273 https://

A 4% withdrawal rate for retirement spending, derived from a discrete-time model of stochastic returns on assets
What grounds the rule of thumb that a(n American) retiree can safely withdraw 4% of their initial retirement wealth in their first year of retirement, then increase that rate of consumption with inflation? I investigate that question with a discrete-time model of returns to a retirement portfolio consumed at a rate that grows by $s$ per period. The model hinges on the parameter $γ$, an $s$-adjusted rate of return to wealth, derived from the first 2-4 moments of the portfolio's probability dist…

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Mahmoud Hussain Alabbad, Maha Sbayel Alhazmi, Neel P. Mistry, Kent Ryan Kleinschmidt, Brady Chrisler, Sathvik Suryadevara, Sri Sai Dinesh Jaliparthi, Noah Michael Prudlo, Mark David Marino, Jeremy Palacio, Rithvik Akula, Hong-Yu Zhou, Ibrahim Ethem Hamamci, Scott J. Adams, Hassan Rayhan AlOmaish, P…

ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
We present ReXGroundingCT, the first publicly available dataset to link free-text radiology findings with pixel-level segmentations in 3D chest CT scans that is manually annotated. While prior datasets have relied on structured labels or predefined categories, ReXGroundingCT captures the full expressiveness of clinical language represented in free text and grounds it to spatially localized 3D segmentation annotations in volumetric imaging. This addresses a critical gap in medical AI: the abilit…

The #Fediverse is amazing, less than 24 hours after I posted this and @… is only €223 from the penultimate target with 30 hours to go.
Not taking any credit for that, but happy to see a chord has been struck for all genuine surveillance-capital-free social media. Even more important in the time of #NoKings.
Looks like I'm going to be busy making #Science videos on #ClimateChange in the #Polar Regions too for the next few weeks.
Here's one I made earlier on #SurfaceMass Budget. Let me know if there's something #Climate and/or #ice related you'd like to see a short clip about and I'll see what we can do
#fedizens who may not have seen this already? If they make the €55,000 target I promise to write a peertube channel into my next grant proposal, AND I'll post some better quality videos of our Greenland and #Antarctic research over the coming weeks...
Go!
#bigTech derisory) amount of EUR 75,000 to develop the opensource #fediverse competitor app to Youtube. Maybe chuck 'em a few euros if you think it useful?
https://support.joinpeertube.org/en/