We strongly suggest visiting our friend’s, Kenny's (MarineGunBuilder), Youtube channel on How-to-videos. If you have any issues with any of the parts included with your Strike80 80% frame ie defective rails, missing pins etc, Please contact Strike Industries directly defective rails, missing pins etc, Please contact P80 Customer Support Directly. If you have any issues with any of the parts included with your Polymer80 80% frame i.e. Again, if you’re not capable of doing this then DO not purchase any of these kits. Simple google search usually does the job. We already installed Channel Liner and Sights on them. We will not assemble any slide as complete. If you are not capable of doing this then DO not buy these kits. for the subcompact, almost 100% of the time you will be to modify the locking block. You will need to file/sand/polish p80 frames/parts in order to make it work. These are called BUILDERS Kits and not called “ Assemble Kit ” for a reason. Pricing will be automatically adjusted on any out of stock items. Non Selectable Items (Gray items) means the item is out of stock. When purchasing any of our Build Kits - No Frame items, please be aware of your selections. *You will no longer need to purchase the "Jig Kit" Polymer80/Strike 80 80% Frames Will Come with the following items
Duckcapture no frame on selection plus#
Add the each item (slide with or without lpk plus the frame) to the cart to see the discount.ĭirect Link for the Corresponding Frames is located on each Product Description. We've discounted our Build Kits - No Frame plus 80% Frames so that the price reflects our most current pricing. 80% Frames will need to be added separately.
We will no longer Sell 80% Frames with our Build Kits. Additionally, we show that when the primary goal is recognitionperformance, our selection strategy can improve over recent state-of-the-art modelsand frame selection strategies on various benchmarks (UCF101, HMDB51 ,FCVID, and ActivityNet ).Current Processing Time: 1-9 Business Days (Not Including Weekends/Holidays) We showthat the SMART frame selection consistently improves the accuracy compared toother frame selection strategies while reducing the computational cost by a factorof 4 to 10 times. We call the proposed frame selection SMARTand we test it in combination with different backbone architectures and on multiplebenchmarks (Kinetics, Something-something, UCF101 ). This results in a moreefficient selection, where “good" frames are more effectively distributed over thevideo, like snapshots that tell a story. In contrast to previous work, we propose a method that instead of selectingframes by considering one at a time, considers them jointly. Weargue that good frame selection can not only reduce the computational cost of videoclassification but also increase the accuracy by getting rid of frames that are hard toclassify.
In this work, however,we focus on the more standard short, trimmed video classification problem. In this paper, we address theproblem of frame selection to reduce the computational cost of video classification.Recent work has successfully leveraged frame selection for long, untrimmed videos,where much of the content is not relevant, and easy to discard. Video classification is computationally expensive. Video Understanding & Activity Analysis Abstract
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