mengkunzhao Goto Github PK

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

hsi-datasets

Hyperspectral Remote Sensing Scenes

hsi_baseline

A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging

huawei_remote-sensing

humpback-whale-identification-1st-

https://www.kaggle.com/c/humpback-whale-identification

hyftech-hyperspectral-shallow-deep-feature-extraction-toolbox

This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction

hypergcn

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

hyperspectral-classification

Hyperspectral-Classification Pytorch

hyperspectral-image-denoising-benchmark

A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.

hyperspectral-image-super-resolution-benchmark

A list of hyperspectral image super-solution resources collected by Junjun Jiang

hyperspectral-image-target-detection-based-on-sparse-representation

Hyperspectral image Target Detection based on Sparse Representation

hyperspectral_deeplearning_review

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

icist2015

Code for paper "Comparison of Feature Extraction Methods for EEG BCI Classification"

ieee_grsl_endnet

Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot. Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data, IEEE GRSL, 2020.

ieee_tgrs_gcn

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE TGRS, 2020.

ieee_tgrs_mdl-rs

Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2020.

ieeg-analysis

NEW scripts for processing iEEG data

iic

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

iitk_motor_eeg

Motor Imagery EEG signal Classification on DWT

image-classification

here are some classic networks for image classification implement by pytorch

image-classification-1

A collection of SOTA Image Classification Models in PyTorch

image-segmentation-loss-functions

some loss functions of image segmentation

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imbalanced-dl

A Python Package for Deep Imbalanced Learning

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

imgclsmob

Sandbox for training convolutional networks for computer vision

inferencetimedg

Code for the paper "Domain Generalization via Inference-time Label-Preserving Target Projections"

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

isomap