4/7/2020 Papers 3.4.2 Download
Hmg.3.4.2 free download. HMG HMG is a xBase development system based on Harbour compiler, MingW compiler and HMG library. Was made in R 3.4.2 on a Windows 7 computer, and is also tested on Ubuntu. Please cite the following paper if you publish results obtained using gogadget: Nota, B. (2017), Gogadget: an R Package for Interpretation. The program is a compact download, and as it's portable, just unzip the contents somewhere and you're ready to open your first file. Which can be in just about any encoding, as EverEdit has full Unicode support. And, surprisingly, you can even open binary files.
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(Submitted on 25 Dec 2016) Abstract: We introduce YOLO9000, a state-of-the-art, real-time object detection systemthat can detect over 9000 object categories. First we propose variousimprovements to the YOLO detection method, both novel and drawn from priorwork. The improved model, YOLOv2, is state-of-the-art on standard detectiontasks like PASCAL VOC and COCO.
At 67 FPS, YOLOv2 gets 76.8 mAP on VOC 2007. At40 FPS, YOLOv2 gets 78.6 mAP, outperforming state-of-the-art methods likeFaster RCNN with ResNet and SSD while still running significantly faster.Finally we propose a method to jointly train on object detection andclassification.
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Using this method we train YOLO9000 simultaneously on the COCOdetection dataset and the ImageNet classification dataset. Our joint trainingallows YOLO9000 to predict detections for object classes that don't havelabelled detection data. We validate our approach on the ImageNet detectiontask. YOLO9000 gets 19.7 mAP on the ImageNet detection validation set despiteonly having detection data for 44 of the 200 classes. On the 156 classes not inCOCO, YOLO9000 gets 16.0 mAP.
But YOLO can detect more than just 200 classes;it predicts detections for more than 9000 different object categories. And itstill runs in real-time.
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