city292
remote sensing, deep learning, earthquake, building damage assessment
Beijing Normal University @bnuBeijing
Pinned Repositories
3dmatch-toolbox
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
Awesome-NAS
A curated list of neural architecture search (NAS) resources.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
BDL
BIPNet
[CVPR 2022--Oral, Best paper Finalist] Burst Image Restoration and Enhancement. SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising
build_assessment
BuildingChangeDetector
基于U-Net检测卫星图像上的新增建筑
keras_frcnn
Keras Implementation of faster-rcnn
city292's Repositories
city292/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
city292/BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
city292/BDL
city292/BIPNet
[CVPR 2022--Oral, Best paper Finalist] Burst Image Restoration and Enhancement. SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising
city292/camodocal
city292/CCT
[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.
city292/cycleGAN-PyTorch
A clean and lucid implementation of cycleGAN using PyTorch
city292/DAGAN
[ACM MM 2020] Dual Attention GANs for Semantic Image Synthesis
city292/DeepLabV3Plus-Pytorch
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
city292/DeepRFT
The code for 'Intriguing Findings of Frequency Selection for Image Deblurring' and 'Deep Residual Fourier Transformation for Single Image Deblurring'
city292/IGEV
[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo
city292/Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
city292/mean-teacher
A state-of-the-art semi-supervised method for image recognition
city292/NeuralSBS
Official implementation of the NeuralSBS paper
city292/notes
my notes
city292/PVT
city292/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
city292/Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
city292/Restormer
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
city292/seg_net
city292/SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
city292/spinningup
An educational resource to help anyone learn deep reinforcement learning.
city292/StableSR
Exploiting Diffusion Prior for Real-World Image Super-Resolution
city292/stereo_rectify
city292/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
city292/T2T-ViT
city292/tc_2021
2021全国数字生态创新大赛
city292/TENet
[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
city292/USSS_ICCV19
Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
city292/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)