ViTAE-Transformer/Remote-Sensing-RVSA
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
This project offers an advanced image analysis tool specifically designed for remote sensing data. It takes satellite or aerial imagery as input and helps identify objects, classify land use, or segment specific features within those images. Remote sensing analysts, environmental scientists, urban planners, and agricultural experts can use this to extract detailed insights from vast amounts of geospatial data.
467 stars. No commits in the last 6 months.
Use this if you need to accurately detect objects, classify scenes, or perform precise segmentation on large-scale remote sensing images, especially those with objects at various orientations.
Not ideal if your primary need is general image recognition on everyday photos or if you require real-time processing on low-resolution imagery.
Stars
467
Forks
41
Language
Python
License
MIT
Category
Last pushed
Feb 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/ViTAE-Transformer/Remote-Sensing-RVSA"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
hkchengrex/CascadePSP
[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global...
nv-tlabs/GSCNN
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
lim-anggun/FgSegNet
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural...
jiwoon-ahn/irn
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
suyukun666/UFO
Official PyTorch implementation of the “A Unified Transformer Framework for Co-Segmentation,...