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BUPT
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- https://wdblink.github.io/
Stars
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Geometric Computer Vision Library for Spatial AI
Desktop music recognition application for windows
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
Joint Detection and Embedding for fast multi-object tracking
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing…
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"
Training library for local feature detection and matching
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)
A generalized information-seeking agent system with Large Language Models (LLMs).
A curated list of the most impressive AI papers
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
Pytorch framework for doing deep learning on point clouds.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
[RAL 2023] A globally consistent LiDAR map optimization module
Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"