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Note that we experimented with the reprojection loss [24], but found it did not help in our context. We also propose changes to the training procedure of [3]. Their approach consists in generating pairs of synthetic views of the object with random pose A Framework for Evaluating 6-DOF ...
MDNet is used to judge whether the target is found or lost. Once the target is lost, CenterNet is used to generate region proposals on the whole image. FlowNetv2 is used to estimate the motion of the target by generating a flow map. Then, the region proposals are filtered with aid of...
(as @htch found out) omab closed this as completed Jun 8, 2014 haghadi mentioned this issue Sep 2, 2014 'NoneType' object has no attribute 'expiration_datetime' #374 Closed bemall commented Feb 4, 2015 Any resolution to this ? Dajngo 1.7 and Python 2.7 ezesundayeze commented Aug...
In this case, the phase difference was found to be negligible as a result of our experimental studies. According to the analysis and experimental results regarding the phase difference, the torque and force values applied on the robot were not affected. The micro-stage is moving at a maximum ...
The L, B, and V images were generated, and it was found that forest tended to have a relatively lower V component than other vegetation. Therefore, the V component, and NDVI were combined to separate the forest from non-forest classes. Forested areas were further classified into various ...
We found that our algorithm's trajectory accuracy in the home and office scenarios is slightly improved by 6.0% and 6.6%, respectively, compared to ORB-SLAM2. We believe that the improvement of trajectory accuracy comes from two aspects: (1) object features such as sofas, TVs, displays, ...
Finally, all bounding boxes are re-scored based on other objects found in the scene. The issue with these methods is that they are applied at multiple locations and scales. High scoring regions of an image are considered to be detections. This procedure is repeated until a certain detection ...
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