Americas, Special Report, Tech

In Figure 1, the yellow line shows the accuracy of mask prediction using the first frame as a reference frame. F which is an evaluation metric for DAVIS. Here, when we use the entire frames as reference frames to increase the number of the reference frame as like in Song et al. 2018); Wang et al. 2019); Faisal et al. 2019), the accuracy is slightly raised, as shown in the green line. The red line shows that we surpass the other two even with a single reference frame selected by EFS. It definitely shows why EFS is needed. EFS takes a pair of an image and its predicted mask acquired from Salient Object Detection (SOD) as an input in a frame-by-frame manner. Then, EFS estimates the difficulties of the frames and makes a top-k selection as reference frames based on the difficulties. Due to EFS, we can prevent the propagation of inaccurate masks by filtering out the hard frames. After selecting easy frames, we predict masks for the remaining frames from easy frames.|Diana Aguilar's 6-year-old daughter Aliyah Shell was killed when she was shot outside her home in Chicago in 2012. Here Aguilar is on Capitol Hill calling for gun reform legislation. The stories are heartbreaking: In June 2017, a 6-year-old boy in Spartanburg, South Carolina shot his 4-year-old sister to death after the gun the boy was holding accidentally went off. That same month, a 9-year-old girl from Indiana was killed when a gun held by her father, 33-year-old Eric Hummel, inadvertently discharged. The list of children maimed or killed by guns seems endless, and three new studies are helping shed additional light on who some of the young victims are - and more importantly - where the live. Why does that matter? Because regionality specific-information suggests that doctors and other public health officials should tailor their approach to reducing firearm-related injuries based on certain areas of the country. Bradley Herrin, a pediatrician at the Yale School of Medicine, concluded that the age a child is injured by a gun is closely related to where they live - specifically, in an urban or rural area.




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