tulilin

pytorch-change-models

torchange - A Unified Change Representation Learning Benchmark Library

Anomaly-Detection-in-Hyperspectral-Images-Based-on-Low-Rank-and-Sparse-Representation

HyperSIGMA

The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

LibADMM-toolbox

A Library of ADMM for Sparse and Low-rank Optimization

lrr

Low-Rank Representation Python implementation

tlse-experiments

Code to reproduce the experiments of the paper: Toulouse Hyperspectral Data Set, a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques

TlseHypDataSet

A Python library to flexibly load PyTorch datasets and run machine learning experiments on the Toulouse Hyperspectral Data Set.

VMamba

VMamba: Visual State Space Models，code is based on mamba

Samba

MambaCD

[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

Official_Remote_Sensing_Mamba

Official code of Remote Sensing Mamba

mamba

Mamba SSM architecture

HRFormer

[ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".

B-cos-v2

Official PyTorch implementation of improved B-cos models

HybridSN

A personal pytorch-based implement of HybridSN by Jupyter Notebook

Awesome-MIM

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

Learning-from-data

记录Learning from data一书中的习题解答

official-CMID

The official implementation of paper "Unified Self-Supervised Learning Framework for Remote Sensing Images".

MAEST

The code included in this repository implements the "Masked Auto-Encoding Spectral–Spatial Transformer for Hyperspectral Image Classification".

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

MaskedSST

Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023

Awesome-Segment-Anything

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

fully_convolutional_change_detection

SimMIM

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文