volcanoxs's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
521xueweihan/HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
tensorflow/models
Models and examples built with TensorFlow
soimort/you-get
:arrow_double_down: Dumb downloader that scrapes the web
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
PaddlePaddle/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
isl-org/MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
HT524/500LineorLess_CN
500 line or less 中文翻译计划。
GeorgeSeif/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
CSAILVision/places365
The Places365-CNNs for Scene Classification
pymatting/pymatting
A Python library for alpha matting
akirasosa/mobile-semantic-segmentation
Real-Time Semantic Segmentation in Mobile device
z-bingo/awesome-image-denoising-state-of-the-art
awesome image and video denoising, state of the art networks
shalfun/DrivingDiffusion
Layout-Guided multi-view driving scene video generation with latent diffusion model
Yaoyi-Li/GCA-Matting
Official repository for Natural Image Matting via Guided Contextual Attention
poppinace/indexnet_matting
(ICCV'19) Indices Matter: Learning to Index for Deep Image Matting
castacks/tartanair_tools
TartanAir dataset tools and samples
lizhengwei1992/Fast_Portrait_Segmentation
Fast (aimed to "real time") Portrait Segmentation on mobile phone
KexianHust/Structure-Guided-Ranking-Loss
Structure-Guided Ranking Loss for Single Image Depth Prediction
yunkezhang/FusionMatting
Project page for paper A Late Fusion CNN for Digital Matting.