Semantic Segmentation with SegFormer on Drone Dataset.

Last update: Oct 20, 2022

Related tags

Deep Learning SegFormer_Segmentation

Overview

SegFormer_Segmentation

Semantic Segmentation with SegFormer on Drone Dataset.

You can check out the blog on Medium

You can also try out the model with your own custom data on HuggingFace Spaces here

The model is also available on HuggingFace Model Hub here

Citations and References

SegFormer
@article{xie2021segformer,
  title={SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers},
  author={Xie, Enze and Wang, Wenhai and Yu, Zhiding and Anandkumar, Anima and Alvarez, Jose M and Luo, Ping},
  journal={arXiv preprint arXiv:2105.15203},
  year={2021}
}

Drone Dataset
http://dronedataset.icg.tugraz.at/

Owner

Praneet

Machine Learning Engineer

GitHub Repository

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Semantic Segmentation with SegFormer on Drone Dataset.

Related tags

Overview

SegFormer_Segmentation

Citations and References

Owner

Praneet

(SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’

NumPy로 구현한 딥러닝 라이브러리입니다. (자동 미분 지원)

Object detection (YOLO) with pytorch, OpenCV and python

The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

gym-anm is a framework for designing reinforcement learning (RL) environments that model Active Network Management (ANM) tasks in electricity distribution networks.

Space robot - (Course Project) Using the space robot to capture the target satellite that is disabled and spinning, then stabilize and fix it up

Code artifacts for the submission "Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems"

A project to make Amazon Echo respond to sign language using your webcam

[IEEE Transactions on Computational Imaging] Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Keywords : Streamlit, BertTokenizer, BertForMaskedLM, Pytorch

A python package to perform same transformation to coco-annotation as performed on the image.

Predicting path with preference based on user demonstration using Maximum Entropy Deep Inverse Reinforcement Learning in a continuous environment

网络协议2天集训

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