- Shanghai China
- https://vipermdl.github.io/
Stars
Python code for paper "Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net", JAG 2022
Simultaneous Semantic Segmentation and Edge Detection
Writing AI Conference Papers: A Handbook for Beginners
📚 A collection of edge/contour/boundary detection papers and toolbox.
Datasets for deep learning with satellite & aerial imagery
This repository contains data from Sentinel-2 imagery on floating marine debris, with annotations for six debris classes, including plastic, driftwood, seaweed, pumice, sea snot, and sea foam.
Recent weakly supervised semantic segmentation paper
TexasInstruments / edgeai-yolov5
Forked from ultralytics/yolov5YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. Forked from https://ultralytics.com/yolov5
Geometric Computer Vision Library for Spatial AI
ParkScape: A large-scale fisheye dataset for parking slot detection and a benchmark method
Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建)
This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"
[ICML 2024] Official repository of the paper: "Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset"
Training data generation for cloud gap imputation fine-tuning of Prithvi Geospatial Foundation Model
《Pytorch实用教程》(第二版)无论是零基础入门,还是CV、NLP、LLM项目应用,或是进阶工程化部署落地,在这里都有。相信在本书的帮助下,读者将能够轻松掌握 PyTorch 的使用,成为一名优秀的深度学习工程师。
🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
OpenMMLab course index and stuff
[Official Repo] A Survey on Vision Mamba: Models, Applications and Challenges