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polyp-pvt

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

polyrnn-pp

Inference Code for Polygon-RNN++ (CVPR 2018)

polyworldpretrainednetwork

PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images

precipitation-nowcasting

pytorch implemention of trajGRU.

precipitation-prediction-convlstm-keras

CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'

predrnn-_pytorch

This is a Pytorch implementation of PredRNN++

predrnn-pytorch

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

prepare_detection_dataset

convert dataset to coco/voc format

projectregularization

Regularization of Building Boundaries using Adversarial and Regularized losses

psa

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

pvt

py-hausdorff

Fast computation of Hausdorff distance in Python

python

All Algorithms implemented in Python

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-polygon-rnn

Pytorch implementation of Polygon-RNN(http://www.cs.toronto.edu/polyrnn/poly_cvpr17/)

pytorch-yolov3---remote-sensing-image

a simple practice about using yolov3 to detect remote-sensing image

queryinst

Instances as Queries (ICCV 2021)

randomnas_release

Code release for paper "Random Search and Reproducibility for NAS"

rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

rcan-tensorflow

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

rcan-tf

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

refinemask

RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021)

repvgg

RepVGG: Making VGG-style ConvNets Great Again

rs-building-regularization

Building Segmentation Post-processing -- Contour regularization.

rsod-dataset-

An open dataset for object detection in remote sensing images

san

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

scasc

Sparse Constraint Adaptive Structure Consistency based Image Regression for Heterogeneous Remote Sensing Change Detection

scikit-tda

Topological Data Analysis for Python🐍

scnn

Spatial CNN for traffic lane detection (AAAI2018)