👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
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Updated
Jul 26, 2022 - MATLAB
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)
Source code of "A Single Model CNN for Hyperspectral Image Denoising"
PyTorch & Matlab code for the paper: CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks (TPAMI 2021).
Spatial-CNN for lane detection in MATLAB.
Heart sounds segmentation based on LSTM neural network and Fourier Synchrosqueezed Transform.
MATLAB example of deep learning for image domain conversion
Matlab codes for the paper "Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling" by Max Girnyk, Physical Communication, vol. 48, 101402, Oct. 2021.
This repository is an simple example for computational ghost imaging via deep learning.
Use a Python speech command recognition system in MATLAB
[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator
Deep Learning Based Cell Type Classification with Low-Res Brightfield Single Cell Images
Codes for experiments of the paper: Learning Deep Feedforward Net for Gravitational Dynamics with Disturbance through Physical Knowledge Distillation
This model creates to check the quality of tea leaves. To build this model used only Matlab and deep learning tool named ResNet50.
Creation of Deep Forests using Nature-Inspired Algorithms to perform Deep Learning.
MATLAB Project
some demo of python prepared for deeplearning