Collect some papers and datastes about few-shot object detection for computer vision.

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

DPSKDnet

植物大战僵尸的开源Python实现 (An open-source python implementation of Plants vs. Zombies)

OpenMMLab Detection Toolbox and Benchmark

A review for remote sensing vision language models

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

A collection of MCP servers.

Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu. Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset…

code for 《Mind the Gap: Mutil-Level Unsupervised Domain Adaptation for Cross-scene Hyperspectral Image Classification》

【8月更新】AugmentCode无限免费续杯方案[【August Update】AugmentCode unlimited free refill plan]

Official PyTorch Implementation of RA-TTA (ICLR25)

AIMedia 是一款自动抓取热点，AI创作文章，自动发布的集成软件。支持头条，小红书，公众号等

LineRWKV predictive compression of hyperspectral images

DescribeEarth: Describe Anything for Remote Sensing Images

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

This is a code demo for the paper "Hyperspectral Target Detection Based on Unsupervised Contrastive Learning and Spatial-Spectral Knowledge Distillation". IEEE Geoscience and Remote Sensing Letters…

Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.

[CVPR 2024] Open-Set Domain Adaptation for Semantic Segmentation

KDSelector proposes a novel knowledge-enhanced and data-efficient framework for learning a neural network-based model selector in the context of time series anomaly detection.

All Algorithms implemented in Python

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.