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Maximum Action Free Download
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As is often the case on the deals side of the video game world, it's a good time to be a PC gamer. Right now you can head over to Steam and download Insurgency for free. It's only free until August 15, but if you grab the game before it goes back to full price, you can keep it and play it forever.
The reason for the game giveaway is to help promote the sequel, Insurgency: Sandstorm, which releases on September 18. If you own the original Insurgency (which you do by downloading it for free now), you get a 10% discount for the sequel. Pre-ordering gets you an additional 10% off, bringing the price from $30 down to $24.
Abstract:The development of action recognition models has shown great performance on various video datasets. Nevertheless, because there is no rich data on target actions in existing datasets, it is insufficient to perform action recognition applications required by industries. To satisfy this requirement, datasets composed of target actions with high availability have been created, but it is difficult to capture various characteristics in actual environments because video data are generated in a specific environment. In this paper, we introduce a new ETRI-Activity3D-LivingLab dataset, which provides action sequences in actual environments and helps to handle a network generalization issue due to the dataset shift. When the action recognition model is trained on the ETRI-Activity3D and KIST SynADL datasets and evaluated on the ETRI-Activity3D-LivingLab dataset, the performance can be severely degraded because the datasets were captured in different environments domains. To reduce this dataset shift between training and testing datasets, we propose a close-up of maximum activation, which magnifies the most activated part of a video input in detail. In addition, we present various experimental results and analysis that show the dataset shift and demonstrate the effectiveness of the proposed method.Keywords: action recognition; dataset shift; self-attention map
Mister Twister's 5" FAT Curly Tail provides maximum action at ultra low retrieval speeds making it an excellent choice for casting, flipping, split shot fishing, Carolina rigs & Texas rigs. It also makes a great trailer for spinner baits and in-line spinners.
Amazon S3 Storage Lens provides organization-wide visibility into object storage usage and activity trends, as well as actionable recommendations to optimize costs and apply data protection best practices. Storage Lens offers an interactive dashboard containing a single view of your object storage usage and activity across tens or hundreds of accounts in your organization, with drill-downs to generate insights at multiple aggregation levels. This includes metrics like bytes, object counts, and requests, as well as metrics detailing S3 feature utilization, such as encrypted object counts and S3 Lifecycle rule counts. S3 Storage Lens also delivers contextual recommendations to find ways for you to reduce storage costs and apply best practices on data protection across tens or hundreds of accounts and buckets. S3 Storage Lens free metrics are enabled by default for all Amazon S3 users. If you want to get more out of S3 Storage Lens, you can activate advanced metrics and recommendations. Learn more by visiting the S3 Storage Lens user guide.
We investigate the linear stability of inviscid flows which are subject to a conservativebody force. This includes a broad range of familiar conservative systems, such asideal MHD, natural convection, flows driven by electrostatic forces and axisymmetric,swirling, recirculating flow. We provide a simple, unified, linear stability criterion validfor any conservative system. In particular, we establish a principle of maximum actionof the form 041b061a72