qinyouyou Goto Github PK

awesome-computer-vision

Awesome Resources for Advanced Computer Vision Topics

awesome-cvpr2021-cvpr2020-low-level-vision

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

cocoa

COCOA: Cross Modality Contrastive Learning for Sensor Data

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

google-research

Google Research

hsi_data_preprocing

hyde

hypernet

hyperspectral-image-classification-models

收录及复现的高光谱遥感图像分类模型

hyperspectral-image-denoising-benchmark

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

hyperspectral-images-denoise-benchmark

Sort out the collected hyperspectral denoising resources and some of my understanding

ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

imglib2-labkit

Advanced Tool for Labeling And Segmentation

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

mssjfl

Multiscale Spatial-spectral Joint Feature Learning for Multispectral and Hyperspectral Image Fusion

paddlevit

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

pyhat

Python Hyperspectral Analysis Tools