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change-detection-review icon change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

clip icon clip

Contrastive Language-Image Pretraining

clothes_parsing icon clothes_parsing

Code for the paper 'A High Performance CRF Model for Clothes Parsing'.

cnn_graph icon cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

cnsurvey icon cnsurvey

一份中文综述文章列表(自然语言处理&机器学习)

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

cocostuff icon cocostuff

The official homepage of the COCO-Stuff 10K dataset.

code-for-mpelu icon code-for-mpelu

Code for Improving Deep Neural Network with Multiple Parametric Exponential Linear Units

contextdesc icon contextdesc

Implementation of CVPR'19 paper (oral) - ContextDesc: Local Descriptor Augmentation with Cross-Modality Context

convcrf icon convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

cpm icon cpm

Coarse-to-fine PatchMatch for dense correspondence

crfasrnn icon crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

curvelanes icon curvelanes

CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection. It is collected in real urban and highway scenarios in multiple cities in China.

cyclegan icon cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

d2-net icon d2-net

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

data-augmentation-review icon data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

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