zilongzhong

SSRN

This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".

SSTN

PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."

DenseNAS

Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)

DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

ISPRS-Potsdam-Semantic-Segmentation

Aidan Blair

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

anago

Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.

CloudFormer

cocostuff

The official homepage of the COCO-Stuff dataset.

compute-canada-hpc

Beginner tutorials and help for using Compute Canada's High Performance Computer. Learn to setup and run a Jupyter Notebook!

cuda_programming

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

DehazeZoo

DehazeZoo for collecting dehazing methods, datasets, and codes.

detail-api

PASCAL in Detail API

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

eye-in-the-sky

Satellite Image Classification using semantic segmentation methods in deep learning

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

GCPsettings

gee-fwi

Fire Weather Index Calculation Based on Google Earth Engine

LM-LSTM-CRF

Empower Sequence Labeling with Task-Aware Language Model

NLDF

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pytorch-cifar

95.16% on CIFAR10 with PyTorch

Pytorch-Deeplab

DeepLab-ResNet rebuilt in Pytorch

PyTorch-Encoding

A CV Toolkit

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

semseg

Semantic Segmentation in Pytorch

Swin-Transformer-Semantic-Segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

vision

Datasets, Transforms and Models specific to Computer Vision