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.
This is a resouce list for low light image enhancement
This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.
Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
Matlab implementation of the ECO tracker.
Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).
Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
A simple yet effective loss function for face verification.
Discover pretrained models for deep learning in MATLAB
Fashion Detection in the Wild (Deep Clothes Detector)
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
TOFlow: Video Enhancement with Task-Oriented Flow
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
Torch implementation of our CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image"
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Multi-view CNN (MVCNN) for shape recognition
DeepSqueak v3: Using Machine Vision to Accelerate Bioacoustics Research
Deep Recurrent Neural Networks for Source Separation