293 research outputs found

    GTNet:Guided Transformer Network for Detecting Human-Object Interactions

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    The human-object interaction (HOI) detection task refers to localizing humans, localizing objects, and predicting the interactions between each human-object pair. HOI is considered one of the fundamental steps in truly understanding complex visual scenes. For detecting HOI, it is important to utilize relative spatial configurations and object semantics to find salient spatial regions of images that highlight the interactions between human object pairs. This issue is addressed by the novel self-attention based guided transformer network, GTNet. GTNet encodes this spatial contextual information in human and object visual features via self-attention while achieving state of the art results on both the V-COCO and HICO-DET datasets. Code will be made available online.Comment: pre-print, the work is in progres

    What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions

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    We propose a novel one-stage Transformer-based semantic and spatial refined transformer (SSRT) to solve the Human-Object Interaction detection task, which requires to localize humans and objects, and predicts their interactions. Differently from previous Transformer-based HOI approaches, which mostly focus at improving the design of the decoder outputs for the final detection, SSRT introduces two new modules to help select the most relevant object-action pairs within an image and refine the queries' representation using rich semantic and spatial features. These enhancements lead to state-of-the-art results on the two most popular HOI benchmarks: V-COCO and HICO-DET.Comment: CVPR 2022 Ora

    Oxygen uptake in the brine shrimp artemia in relation to salinity

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    The rate of oxygen consumption of Artemia has decreased with decrease in salinity and in freshwater the 02 consumed was least. The probable reasons for such decrease have (been discussed

    Interplay Between Risk Perception, Behavior, and COVID-19 Spread

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    Pharmaceutical and non-pharmaceutical interventions (NPIs) have been crucial for controlling COVID-19. They are complemented by voluntary health-protective behavior, building a complex interplay between risk perception, behavior, and disease spread. We studied how voluntary health-protective behavior and vaccination willingness impact the long-term dynamics. We analyzed how different levels of mandatory NPIs determine how individuals use their leeway for voluntary actions. If mandatory NPIs are too weak, COVID-19 incidence will surge, implying high morbidity and mortality before individuals react; if they are too strong, one expects a rebound wave once restrictions are lifted, challenging the transition to endemicity. Conversely, moderate mandatory NPIs give individuals time and room to adapt their level of caution, mitigating disease spread effectively. When complemented with high vaccination rates, this also offers a robust way to limit the impacts of the Omicron variant of concern. Altogether, our work highlights the importance of appropriate mandatory NPIs to maximise the impact of individual voluntary actions in pandemic control

    The Dromiusina Bonelli, 1810 of southwestern Saudi Arabia with description of a new species (Coleoptera, Carabidae, Lebiini)

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    In this paper, species of the subtribe Dromiusina Bonelli, 1810 from southwestern Saudi Arabia are revised. Eleven species in six genera (Calodromius, Dromius, Mesolestes, Metadromius, Microlestes, and Zolotarevskyella) are recognized. Dromius saudiarabicus Rasool, Abdel-Dayem and Felix, sp. n. is newly described species from Rayda Nature Reserve Asir province. The presence of Metadromius ephippiatus in Saudi Arabia is doubtful. A key is also provided to genera and species level for Dromiusina of Saudi Arabia

    Erectile Dysfunction as an Independent Predictor of Future Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis

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    Vascular erectile dysfunction (ED) and cardiovascular disease (CVD) share common risk factors including obesity, hypertension, metabolic syndrome, diabetes mellitus, and smoking. ED and CVD also have common underlying pathological mechanisms, including endothelial dysfunction, inflammation, and atherosclerosis.1 Despite these close relationships, the evidence documenting ED as an independent predictor of future CVD events is limited
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