Synthetic Data Generation (SDG) Using Vanilla GAN
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Updated
Jul 23, 2023 - MATLAB
Synthetic Data Generation (SDG) Using Vanilla GAN
Synthetic Data Generation by Very Basic 1-D GAN
Corruption Robust Image Classification with a new Activation Function. Our proposed Activation Function is inspired by the Human Visual System and a classic signal processing fix for data corruption.
Learning-to-Augment Strategy Using Noisy and Denoised Data: An Algorithm to Improve Generalization of Deep CNN
An extended TSP (Time Stretched Pulse). CAPRICEP substantially replaces FVN. CAPRICEP enables interactive and real-time measurement of the linear time-invariant, the non-linear time-invariant, and random and time varying responses simultaneously.
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
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