Cellphone recyclingCoco human/object data Cityscape autonomus driving Histology gland data Figure 1: Instance semantic segmentation has applications in many domains, and each domain may have a specific goal and challenges, e.g., cellphone recycling objects need clear boundaries and seeing small details for disassembling, COCO and Cityscape are large-scale, and glands are heterogeneous with coalescing pixels. Learning a generic loss in only one generic architecture, and regardless of the kind of underlying domain, we show a GAN loss generally improves the accuracy and quality of the task. Top row: results of the baseline Mask R-CNN. Bottom row: results of incorporating the baseline's loss with a GAN loss.For ease of comparison, we highlight (with the red dotted-boxes) some failures in the baseline results.
Urban parameters, such as building density and the building coverage ratio (BCR), play a crucial role in urban analysis and measurement. Although several approaches have been proposed for BCR estimations, a quick and effective tool is still required due to the limitations of statistical-based and manual mapping methods. Since a building footprint is crucial for the BCR calculation, we hypothesize that Deep Learning (DL) models can aid in the BCR computation, due to their proven automatic building footprint extraction capability. Thus, this study applies the DL framework in the ArcGIS software to the BCR calculation task and evaluates its efficiency for a new industrial district in South Korea. Although the accuracy achieved was limited due to poor-quality input data and issues with the training process, the result indicated that the DL-based approach is applicable for BCR measuring, which is a step toward suggesting an implication of this method. Overall, the potential utility of this proposed approach for the BCR measurement promises to be considerable.
Under the leadership of the Vietnam Buddhist Sangha, the Lien Tong Tinh Do Non Bong Buddhist (LTTDNB) practices based on the Buddha’s teachings with an inclination towards the practice of the pure land method of Mahayana Buddhism. The founder of the sect is Venerable Thien Phuoc Nhat Y, founded at Linh Son Pagoda (Ba Ria - Vung Tau province) in 1957. The social welfare activities of the LTTDNB sect over the past 60 years have positively influenced people, Buddhist monks and nuns living in the Southeast region, as well as many other parts of the country, especially the multi-faceted contributions to the social security movement since its inception. The LTTDNB sect has left its own mark on Vietnamese Buddhism, focusing on Mahayana sutras and upholding the Zen way of life in the spirit of the six precepts. The contributions of the LTTDNB contributed to national security and people’s safety, and joined hands to reduce the problems of society, all are rooted in the Buddhist spirit of compassion and selflessness. This study provided a brief introduction to the LTTDNB sect and the active activities of the sect in ensuring social security, and at the same time drawing the meaning of practice and service of the sect for Vietnamese Buddhism in modern times.
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