Goto

Collaborating Authors

 Irish Sea


Diarrhea slowed down Roman soldiers

Popular Science

Intestinal parasites that still plague us today were all over Roman Britain. Breakthroughs, discoveries, and DIY tips sent every weekday. The soldiers guarding the Roman Empire's northwestern frontier had a real parasite problem. Scientists analyzing the sewer drains from the Roman fort Vindolanda (near Hadrian's Wall in northern England) found three types of intestinal parasites --roundworm,whipworm, and . The findings published in the journal mark the first time that has been documented in Roman Britain.


Irish police investigating drone activity during Zelensky visit

BBC News

An Garda Síochána (Irish police force) has launched an investigation after drones were detected in Irish skies on the night the Ukrainian president arrived in Ireland. Volodymyr Zelensky flew into Dublin late on Monday night for a one-day official visit with his wife, First Lady Olena Zelenska. Senior Irish government figures, including Taoiseach (Irish Prime Minister) Micheál Martin, have been briefed on the issue. Martin confirmed it would be discussed at a National Security Council meeting later this month. In a statement, gardaí said its Special Detective Unit (SDU) is investigating the matter and will be liaising with the Defence Forces and international security partners.



A Details of Data Augmentation with External Knowledge Resources 486 4 Enhance Relation Recognition: We enriched the relationships between objects parsed from the

Neural Information Processing Systems

The hyperparameters for training are detailed in Table 7. We perform the human evaluation on two of the four in-depth knowledge quality assessment metrics. V alidity ( "): whether the generated visual knowledge is valid to humans . Conformity ( "): whether the generated knowledge faithfully depicts the scenarios in the images . Our calculated average pairwise Cohen's Suppose you are looking at an image that contains the following subject and object entities: Subject list: [Insert the subject names here] Object list: [Insert the object names here] Please extract 5-10 condensed descriptions that describe the interactions and/or relations among those entities in the image.



Pilates started in a WWI internment camp

Popular Science

How Joseph Pilates went from circus performer to exercise expert. Pilates is one of the fastest growing exercises in America, but it all started in an unlikely place. Breakthroughs, discoveries, and DIY tips sent every weekday. Pilates is having a moment. According to a recent report from the Sports and Fitness Industry Association, Pilates participation has shot up from 9.2 million participants to 12.9 million since 2019, a jump of nearly 40% and the largest of any workout type across the United States.





MVA 2025 Small Multi-Object Tracking for Spotting Birds Challenge: Dataset, Methods, and Results

Kondo, Yuki, Ukita, Norimichi, Kanayama, Riku, Yoshida, Yuki, Yamaguchi, Takayuki, Yu, Xiang, Liang, Guang, Liu, Xinyao, Wang, Guan-Zhang, Chu, Wei-Ta, Chuang, Bing-Cheng, Lee, Jia-Hua, Kuo, Pin-Tseng, Chu, I-Hsuan, Hsiao, Yi-Shein, Wu, Cheng-Han, Wu, Po-Yi, Tsou, Jui-Chien, Liu, Hsuan-Chi, Lee, Chun-Yi, Yang, Yuan-Fu, Shigematsu, Kosuke, Shin, Asuka, Tran, Ba

arXiv.org Artificial Intelligence

Small Multi-Object Tracking (SMOT) is particularly challenging when targets occupy only a few dozen pixels, rendering detection and appearance-based association unreliable. Building on the success of the MVA2023 SOD4SB challenge, this paper introduces the SMOT4SB challenge, which leverages temporal information to address limitations of single-frame detection. Our three main contributions are: (1) the SMOT4SB dataset, consisting of 211 UAV video sequences with 108,192 annotated frames under diverse real-world conditions, designed to capture motion entanglement where both camera and targets move freely in 3D; (2) SO-HOTA, a novel metric combining Dot Distance with HOTA to mitigate the sensitivity of IoU-based metrics to small displacements; and (3) a competitive MVA2025 challenge with 78 participants and 308 submissions, where the winning method achieved a 5.1x improvement over the baseline. This work lays a foundation for advancing SMOT in UAV scenarios with applications in bird strike avoidance, agriculture, fisheries, and ecological monitoring.