대충 이런이런거 했다[일기,활동요약]/프로젝트-위성영상객체검출

학회 월간지 발행문 작성을 위한 사이트 모음

junha1125 2020. 4. 3. 18:10

- https://arxiv.org/abs/1706.06169

 

Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition

This paper describes our approach to the DSTL Satellite Imagery Feature Detection challenge run by Kaggle. The primary goal of this challenge is accurate semantic segmentation of different classes in satellite imagery. Our approach is based on an adaptatio

arxiv.org

  • 1. Dstl kaggle 대회 - 논문 정리

 

- https://awesomeopensource.com/project/chrieke/awesome-satellite-imagery-datasets

 

Awesome Satellite Imagery Datasets

Awesome Satellite Imagery Datasets List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. Newest datasets at the top of each category (Instance segmentation, object detection, semantic segmentation, scene clas

awesomeopensource.com

  • 2 .대회들과 IEEE논문 많음

 

- https://github.com/dronedeploy/dd-ml-segmentation-benchmark

 

dronedeploy/dd-ml-segmentation-benchmark

DroneDeploy Machine Learning Segmentation Benchmark - dronedeploy/dd-ml-segmentation-benchmark

github.com

  • 바로 위의 코드 중 그나마 쓸모 있을 것 같은 코드 

 

============================================================================

- https://github.com/CSAILVision/semantic-segmentation-pytorch

 

CSAILVision/semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset - CSAILVision/semantic-segmentation-pytorch

github.com

  • segmentaion을 쉽게 할 수 있는 코드 같음 -> 여기서 논문 필요하면 읽기
  •  

 

- https://github.com/mrgloom/awesome-semantic-segmentation

 

mrgloom/awesome-semantic-segmentation

:metal: awesome-semantic-segmentation. Contribute to mrgloom/awesome-semantic-segmentation development by creating an account on GitHub.

github.com

  • Awsome 시리즈 : segmentaion 관련코드 모음

 

 

https://arxiv.org/abs/1907.07156

 

Efficient Segmentation: Learning Downsampling Near Semantic Boundaries

Many automated processes such as auto-piloting rely on a good semantic segmentation as a critical component. To speed up performance, it is common to downsample the input frame. However, this comes at the cost of missed small objects and reduced accuracy a

arxiv.org

  • 이거는 그냥 추가로... 

다양한 모델 사용 가능한 코드 

1.https://github.com/qubvel/segmentation_models.pytorch

 

qubvel/segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch. - qubvel/segmentation_models.pytorch

github.com

2.https://github.com/meetshah1995/pytorch-semseg

 

meetshah1995/pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch - meetshah1995/pytorch-semseg

github.com

3.https://github.com/CSAILVision/semantic-segmentation-pytorch

 

CSAILVision/semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset - CSAILVision/semantic-segmentation-pytorch

github.com