Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@aligyie@digitalcourage.social
2025-07-02 12:48:41

"While crop seed vaults are common around the world, nurseries for wild and native plants are rare, and many plant species quietly become extinct. This marks #Gurukula out as a Noah’s ark for endangered plant species."

"The primary vegetation around Gurukula Botanical Sanctuary is wet evergreen, medium elevation rainforest."
"Laly Joseph, the head of plant conservation at Gurukula Botanical Sanctuary, has spent most of her life learning about and caring for plants."
"An explosion of Alsophila spinulosa tree ferns, also known as flying spider-monkey tree fern. These are native species found in tropical and subtropical forests across Asia. An abundance of ferns can mean a healthy, high-quality habitat with minimal human disturbance."

Meet Kerala’s ‘rainforest gardeners’ creating a Noah’s ark for endangered plants
In one of the world’s ‘hottest hotspots’ of biodiversity, an all-female team have turned a patch of forest into a haven for orchids, ferns, succulents and carnivorous plants

@arXiv_csCV_bot@mastoxiv.page
2025-07-08 14:30:31

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang, Liming Chen, Jun Cheng, Lu Liu, Yalin Zheng, Yanda Meng
arxiv.org/abs/2507.04999

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
Multimodal ophthalmic imaging-based diagnosis integrates color fundus image with optical coherence tomography (OCT) to provide a comprehensive view of ocular pathologies. However, the uneven global distribution of healthcare resources often results in real-world clinical scenarios encountering incomplete multimodal data, which significantly compromises diagnostic accuracy. Existing commonly used pipelines, such as modality imputation and distillation methods, face notable limitations: 1)Imputat…

@arXiv_eessAS_bot@mastoxiv.page
2025-07-24 09:23:40

SLASH: Self-Supervised Speech Pitch Estimation Leveraging DSP-derived Absolute Pitch
Ryo Terashima, Yuma Shirahata, Masaya Kawamura
arxiv.org/abs/2507.17208

SLASH: Self-Supervised Speech Pitch Estimation Leveraging DSP-derived Absolute Pitch
We present SLASH, a pitch estimation method of speech signals based on self-supervised learning (SSL). To enhance the performance of conventional SSL-based approaches that primarily depend on the relative pitch difference derived from pitch shifting, our method incorporates absolute pitch values by 1) introducing a prior pitch distribution derived from digital signal processing (DSP), and 2) optimizing absolute pitch through gradient descent with a loss between the target and differentiable DSP…