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We introduce Interpolation Consistency Training (ICT), a simple and computation efficient algorithm for training Deep Neural Networks in the semi-supervised learning paradigm. ICT encourages the prediction at an interpolation of unlabeled points to be consistent with the interpolation of the predictions at...
The proposed model combines bad adversarial training, fusion techniques, and regularization to address the limitations of semi-supervised learning. IC-BGAN creates three types of image augmentations and label consistency regularization in interpolation of bad fake images, real and bad fake images, and ...
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training yihong-97/stict • • CVPR 2022 Our proposed approach is extensively validated on the ViSha dataset and a self-annotated dataset. 1 Paper Code Deep Spatial Domain Generalization dyu62/deep-domain-generalization • •...
We found that although increasing the relative offset between inducers led to a decrease in both precision and consistency, increasing turning angle affected primarily precision. We discuss conditions under which interpolation settings are consistent with a single, stable smooth contour....
However, using the same classifier for all the analyzed datasets guarantees consistency in the segmentation process and, consequently, in the quantitative assessment of the various reconstruction methods. The Mean Square Error (MSE) and the Structure Similarity Index Method (SSIM) are some of the ...
Unsupervised Video Interpolation using Cycle Consistency - GitHub - NVIDIA/unsupervised-video-interpolation: Unsupervised Video Interpolation using Cycle Consistency
Current commercial prosthetic hand controllers limit patients’ ability to fully engage high Degree-of-Freedom (DoF) prosthetic hands. Available feedforward controllers rely on large training data sets for controller setup and a need for recalibration up
Moreover, in this paper, we also find that the degrees of consistency obtained between the fuzzy interpolation results of the AFRI methods proposed in [10], [18], [48] are not high enough. Therefore, we need to develop a new AFRI method based on RFSs to overcome the drawbacks of the ...
The calculation of Rep(A˜)y follows that used to calculate Rep(A˜)x in an effort to maintain consistency. To distinguish amongst different RF set shapes, the shape diversity factor f is also introduced here. The present work defines this concept by following the conventional definition of...