PURE-melo

GlobalMind

iMTFA

Code accompanying the paper 'Incremental Few-Shot Instance Segmentation'

change-detection

https://github.com/wenhwu/awesome-remote-sensing-change-detection

Awesome-Vision-Mamba-Models

[Official Repo] A Survey on Vision Mamba: Models, Applications and Challenges

SAM-COBOT

code release

S2Mamba

The official code for the paper "S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification" The code will be available soon.

SpectralMamba

Yao, Jing, Danfeng Hong, Chenyu Li, and Jocelyn Chanussot. "SpectralMamba: Efficient Mamba for Hyperspectral Image Classification." arXiv preprint arXiv:2404.08489, 2024.

Awesome-Mamba-Papers

Awesome Papers related to Mamba.

SQSFormer

Awesome-Remote-Sensing-Foundation-Models

RSMamba

This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"

UniTS

A unified multi-task time series model.

WSLCD

The implementation of Beyond Pixel-level Annotation: Learning to Detect Changes With Image-Level Supervision.

Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

VMamba

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

SegMamba

SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

SVF

[NeurIPS 2022] Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning

FGSCR-42

A public Dataset for Fine-Grained Ship Classification in Remote sensing images

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

MFGNet-for-Few-shot-Learning

Code for the method corresponding to Paper MFGNet: Multibranch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification

CAST

MSCDUnet

UniADRS

FI-WSOD

CBL-WSOD

openWUSU

LLMsPracticalGuide

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

RSPrompter

This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

HiFi_IFDL

Hierarchical Fine-Grained Image Forgery Detection and Localization (CVPR2023)

Awesome-Segment-Anything

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